Agenda
Agenda – Overview
The PHM Fundamentals Course takes place at same Hilton Venue on October 3rd and 4th.
Venue Map
Detailed Agenda
Please note that the links to the individual publications will be active on the first day of the conference.
Monday, September 29, 2014 — Doctoral Symposium, Panel Sessions, Cocktail Reception
Tuesday, September 30, 2014 — Opening Remarks, Luminary Sessions, Tutorials, Technical Paper Sessions, Invited Sessions, Cocktail Reception, Poster Session
Wednesday, October 1, 2014 — Tutorials, Technical Paper Sessions, HMOG Workshop, Panel Sessions, Social Hour, Banquet Dinner and Awards Ceremony
Thursday, October 2, 2014 — Panel Sessions, Technical Paper Sessions, Dialogues, Closing Remarks
Monday, September 29, 2014 | Location | |
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7h00–17h00 | Conference Registration | West Promenade |
7h00–10h00 | Doctoral Symposium Session 1 Dr. Jamie Coble, Dr. Nicholas Propes, Dr. Marcos Orchard, and Dr. Ian Jennions |
Texas A & B |
10h00–10h30 | DS Only Break | Texas A & B |
10h30–12h00 | Doctoral Symposium Session 2 Dr. Jamie Coble, Dr. Nicholas Propes, Dr. Marcos Orchard, and Dr. Ian Jennions |
Texas A & B |
12h00–13h30 | DS Only Lunch | Texas A & B |
13h00–13h30 | Conference Program Formal Commencement | Crystal D |
13h30–15h00 | Panel Session 1 – Big Data and Analytics: From a CBM+ and Enterprise Perspective Andy Hess |
Crystal A |
13h30–15h00 | Doctoral Symposium Session 3 Dr. Jamie Coble, Dr. Nicholas Propes, Dr. Marcos Orchard, and Dr. Ian Jennions |
Texas A & B |
15h00–15h30 | Networking Break | Crystal C |
15h30–17h00 | Panel Session 2 – Rotary Wings HUMS Evolution Pat Kalgren and Eric Bechhoefer |
Crystal A |
15h30–17h00 | Doctoral Symposium Session 4 Dr. Jamie Coble, Dr. Nicholas Propes, Dr. Marcos Orchard, and Dr. Ian Jennions |
Texas A & B |
13h30–17h00 | Technology Demo Setup | Citizens B & C |
17h00–19h00 | Sponsored Cocktail Reception and Sponsor Table Mingling | Crystal C&D |
Tuesday, September 30, 2014 | Location | |
7h00–17h00 | Conference Registration | West Promenade |
7h00–8h00 | Breakfast for Registrants | Crystal D |
7h00–8h00 | Technology Demo Setup | Citizens B & C |
08h00–08h30 | Opening Remarks |
Crystal D |
08h30–09h05 | Luminaries Session 1 – Design for Safety Dr. Nancy Leveson |
Crystal D |
09h05–09h40 | Luminaries Session 2 – Better Predictions Through Betting: Designing Custom Futures Markets to turn Data into Decisions Dr. Mark Boslough |
Crystal D |
09h40–10h00 | Networking Break | Crystal D Foyer |
10h00–10h35 | Luminaries Session 3 – Emerging Opportunities for Real-Time Computing in Data-Intensive Disciplines Dr. Jeffrey Word |
Crystal D |
10h35–11h30 | Luminaries Q&A Session |
Crystal D |
11h30–13h00 | Symposium Lunch and Keynote Speech Dr. Brian A Weiss |
Crystal D |
13h30–16h30 | Scheduled Technology Demo | Citizens B & C |
13h00–14h30 | Tutorial Session 1 – Diagnostics Dr. Eric Bechhoefer |
Crystal A |
13h00–14h30 | Invited Session 1 – Corrosion Monitoring, Sensing, Detection and Prediction Dr. George Vachtsevanos |
Crystal B |
13h00–14h30 | Session 1A: Prognostics Methods I Session Chair: Marcos Orchard–University of Chile |
Texas A |
Estimation of Remaining Useful Life Based on Switching Kalman Filter Neural Network Ensemble Pin Lim1, Chi Keong Goh2, Kay Chen Tan3, Partha Dutta4– 1,2,4 Rolls Royce Singapore, Singapore 3 National University of Singapore, Singapore |
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A Thermodynamic Entropy Based Approach for Prognosis and Health Management Anahita Imanian1, Mohammad Modarres2– 1,2 University of Maryland, Department of Mechanics, Center for Risk and Reliability City, Maryland, 20742, USA |
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A Low Frequency Uni-variate Model for the Effective Diagnosis and Prognosis of Bearing Signals Based Upon High Frequency Data Jamie L. Godwin1, Peter Matthews2– 1,2 School of engineering and computing sciences, Science Laboratories, Durham University,Durham |
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13h00–14h30 | Session 1B: Diagnostics Methods I Session Chair: Matthew Daigle–NASA Ames |
Texas B |
Health Management and Diagnostics for Synthetic Aperture Radar (SAR) Payloads Gregory Bower1, Jonathan Zook2, Ross Bird3– 1,2,3 QorTek Inc., Williamsport, PA, 17701 |
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Learning Diagnosis Based on Evolving Fuzzy Finite State Automaton Moussa Traore1, Eric Châtelet2, Eddie Soulier3, Hossam A. Gabbar4– 1,2,3 University of Technology of Troyes (UTT), Troyes, BP 2060, 10010, France 4 Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology |
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Health Monitoring of Hybrid Systems Using Hybrid Particle Petri Nets Quentin Gaudel1, Elodie Chanthery2, Pauline Ribot3– 1,2,3 CNRS, LAAS, 7 avenue du colonel Roche, F-31400 Toulouse, France 1,2 Univ de Toulouse, INSA, LAAS, F-31400 Toulouse, France 3 Univ de Toulouse, UPS, LAAS, F-31400 Toulouse, France |
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13h00–14h30 | Session 1C: Prognostics Applications Session Chair: Mike Roemer–Impact Tek |
Texas C |
Towards Performance Prognostics of a Launch Valve Glenn Shevach1, Mark Blair2, James Hing3, Larry Venetsky4, Everard Martin5, John Wheelock6– 1,2,3,4 Naval Air Warfare Center-Aircraft Division Code 4.8.1.4, Lakehurst, NJ, 08733, USA 5,6 Naval Air Warfare Center-Aircraft Division Code 4.8.2.1, Lakehurst, NJ, 08733, USA |
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Prognostic Modeling of Valve Degradation within Power Stations M. J. McGhee1, G. Galloway2, V. M. Catterson3, B. Brown4, E. Harrison5– 1,2,3 University of Strathclyde, Glasgow, United Kingdom 4,5 GSE Systems, Glasgow, United Kingdom |
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Validation of Model-Based Prognostics for Pneumatic Valves in a Demonstration Testbed Chetan S. Kulkarni1, Matthew Daigle2, George Gorospe3, Kai Goebel4– 1,3 SGT, Inc., NASA Ames Research Center, Moffett Field, CA, 94035, USA 2,4 NASA Ames Research Center, Moffett Field, CA, 94035, USA |
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14h30–15h00 | Networking Break | Crystal C |
15h00–16h30 | Tutorial Session 2 – PHM for Electronics Patrick Kalgren |
Crystal A |
15h00–16h30 | Invited Session 2 – Corrosion Monitoring, Sensing, Detection and Prediction Dr. George Vachtsevanos |
Crystal B |
15h00–16h30 | Session 2A: Prognostics Methods II Session Chair: Jeff Bird–Magma |
Texas A |
Remaining Useful Life Prediction of Rolling Element Bearings Based On Health State Assessment Zhiliang Liu1, Ming J. Zuo2, Longlong Zhang3– 1,2,3 School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China 2 Department of Mechanical Engineering, University of Alberta, Edmonton, Canada, T6G2G8 |
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Data-Driven Lead-Acid Battery Prognostics Using Random Survival Forests Erik Frisk1, Mattias Krysander2, Emil Larsson3– 1,2,3 Department of Electrical Engineering, Linköping University, Sweden |
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Applying Swarm Intelligence and Bayesian Inference for Wind Turbine SCADA-Based Condition Monitoring and Prognostics Xiang Ye1, Lisa Osadciw2– 1 China Data Science and Technology Research Instititute, Beijing, China 2Saab Sensis Corporation, NY, USA |
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15h00–16h30 | Session 2B: Diagnostics Methods II Session Chair: Jacazio Giovanni–Politecnico, Torino, Italy |
Texas B |
Fatigue Crack Detection at Gearbox Spline Component using Acoustic Emission Method Didem Ozevin1, Justin Cox2, William Hardman3, Seth Kessler4, Alan Timmons5– 1 Civil and Materials Engineering, University of Illinois at Chicago, Chicago IL 2,3,5 NAVAIR NAS Patuxent River MD 4 Metis Design Corporation, Boston MA |
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A Data Driven Method for Model Based Diagnostics and Prognostics Michael D. Bryant1– 1 Mechanical Engineering, University of Texas at Austin, Austin, Texas 78712-0292 |
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Planetary Gearbox Fault Diagnosis Using a Single Piezoelectric Strain Sensor Jae Yoon1, David He2, Brandon Van Hecke3, Thomas J. Nostrand4, Junda Zhu5, Eric Bechhoefer6– 1,2,3 University of Illinois at Chicago, Chicago, IL, 60607, USA 4,5 Renewable NRG Systems, Hinesburg, VT, 05461, USA 6 Green Power Monitoring Systems, Essex Junction, VT, 05452, USA |
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15h00–16h30 | Session 2C: PHM in Robotic Vehicles Session Chair: George Vachtsevanos–Georgia Tech |
Texas C |
Integrated Diagnostics and Prognostics for the Electrical Power System of a Planetary Rover Matthew Daigle1, Indranil Roychoudhury2, Anibal Bregon3– 1 NASA Ames Research Center, Moffett Field, California, 94035, USA 2 SGT Inc., NASA Ames Research Center, Moffett Field, California, 94035, USA 3 Department of Computer Science, University of Valladolid, Valladolid, Spain |
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Demonstration of Prognostics-Enabled Decision Making Algorithms on a Hardware Mobile Robot Test Platform Adam Sweet1, George Gorospe2, Matthew Daigle3, José R. Celaya4, Edward Balaban5, Indranil Roychoudhury6, Sriram Narasimhan7– 1,3,5 NASA Ames Research Center, Moffett Field, CA, 94035, USA 2,4,6 SGT Inc., NASA Ames Research Center, Moffett Field, CA, 94035, USA 7 University of California, Santa Cruz, NASA Ames Research Center, Moffett Field, CA, 94035, USA |
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Autonomous Vehicle Battery State-of-Charge Prognostics Enhanced Mission Planning Bin Zhang1, Liang Tang2, Jonathan DeCastro3, Michael Roemer4, Kai Goebel5– 1 University of South Carolina, Columbia, SC, USA 2 Impact Technologies, LLC, Rochester NY, USA 3 Cornell University, Ithaca, NY, USA 4 NASA Ames Research Center, Moffett Field, CA, USA |
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18h10–19h30 | Sponsored Cocktail Reception and Poster Session | Crystal D |
Wednesday, October 1, 2014 | Location | |
7h00–17h00 | Conference Registration | West Promenade |
7h00–8h00 | Breakfast for Registrants | Crystal D |
08h00–08h30 | Opening Remarks |
Crystal D |
08h30–17h00 | Scheduled Technology Demo | Citizens B & C |
08h30–10h00 | Tutorial Session 3 – Model-based Prognostics Dr. Matthew Daigle |
Crystal A |
08h30–10h00 | Heavy Machineries in Oil and Gas and Mining Industry Worshop Session 1 Dr. Dinkar Mylaraswamy |
Crystal B |
8h30–10h00 | Session 3A: Diagnostics Applications I Session Chair: Karl Reichard–Penn State |
Texas A |
Gear Diagnostics – Fault Type Characteristics Alexander Bliznyuk1, Ido Dadon2, Renata Klein3, Jacob Bortman4– 1,2,4 Laboratory for Health, Department of Mechanical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel 3 R.K. Diagnostics, Gilon, Israel |
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Characterization of Fault Size in Bearings Matan Mendelovich1, Yitschak Sanders2, Gideon Kogan3, Mor Battat4, Renata Klein5, Jacob Bortman6– 1,2,3,4,6 Laboratory for Health, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, Beer 5 R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel |
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A Vibration-Based Approach for Stator Winding Fault Diagnosis of Induction Motors: Application of Envelope Analysis Chao Jin1, Agusmian P. Ompusunggu2, Zongchang Liu3, Hossein D. Ardakani4, Fredrik Petré5, Jay Lee6– 1,3,4,6 NSF I/UCRC Center for Intelligent Maintenance Systems (IMS), Cincinnati, OH, 45221,USA 2,5 Flanders’ Mechatronics Technology Centre (FMTC), Heverlee, 3001, Belgium |
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8h30–10h00 | Session 3B: Verification, Validation, and Accreditation Session Chair: Indranil Roychoudhury–SGT Inc., NASA Ames |
Texas B |
Formal Verification of Complex Systems based on SysML Functional Requirements Hoda Mehrpouyan1, Irem Y. Tumer2, Chris Hoyle3, Dimitra Giannakopoulou4, Guillaume Brat5– 1 TSYS School of Computer Science, Columbus State University, Columbus, GA, USA 2,3 School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, OR, USA 4,5 NASA Ames Research Center, Moffett Field, CA, USA |
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A Tool Chain for the V&V of NASA Cryogenic Fuel Loading Health Management Johann Schumann1, Vanesa Gomez-Gonzalez2, Nagabhushan Mahadevan3, Michael Lowry4, Peter Robinson5, Gabor Karsai6– 1 SGT, Inc., NASA Ames Research Center, Moffett Field, CA 94035, USA 2 USRA, Mountain View, CA 94043, USA 3,6 Institute for Software Integrated Systems, Vanderbilt University, Nashville, TN 37212, USA 4,5 NASA Ames Research Center, Moffett Field, CA 94035, USA |
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Towards Accreditation of Diagnostic Models for Improved Performance Anuradha Kodali1, Peter Robinson2– 1 SGT Inc., NASA Ames Research Center, Moffett Field, CA, 94035 2 NASA Ames Research Center, Moffett Field, CA, 94035 |
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8h30–10h00 | Session 3C: Analytical PHM Methods I Session Chair: Abhinav Saxena–SGT Inc., NASA Ames |
Texas C |
A Model-Based Approach for Reliability Assessment in Component-Based Systems Saideep Nannapaneni1, Abhishek Dubey2, Sherif Abdelwahed3, Sankaran Mahadevan4, Sandeep Neema5– 1,4 Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN, 37235, USA 2,3,5 Department of EECS/ISIS, Vanderbilt University, Nashville, TN, 37235, USA |
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Sensor Fault Diagnosis in Quadrotors Using Nonlinear Adaptive Estimators Remus C Avram1, Xiaodong Zhang2, Jacob Campbell3– 1,2 Wright State University, Dayton, Ohio, 45404, USA 3 Air Force Research Laboratory, Dayton, OH, 45404, USA |
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Using Johnson Distribution for Automatic Threshold Setting in Wind Turbine Condition Monitoring System Kun S. Marhadi1, Georgios Alexandros Skrimpas2– 1,2 Brüel & Kjœr Vibro A/S, 2850 Nœrum, Denmark |
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10h00–10h30 | Networking Break | Crystal C |
10h30–12h00 | Tutorial Session 4 – Data Mining Dr. Nikunj Oza |
Crystal A |
10h30–12h00 | Special Invited Papers Sessions Session Chair: Junda Zhu – Renewable NRG Systems |
Crystal B |
A Data Mining Approach to Diagnose Mechanical Faults in Motors Operating in Industrial Environment Ruoyu Li—SKF, USA |
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Fault Detection Sensitivity of Data-driven Empritical Models against Various Operation Modes of NPPs Jae Hwan Kim—Korea Atomic Research Institute, Republic of Korea | ||
Pattern Tracking for Predicting Potential Maintenance Actions of Military Vehicles James D. Kozlowski—Pennsylvania State University, USA | ||
10h30–12h00 | Session 4A: Diagnostics Applications II Session Chair: Jose Celaya–SGT Inc., NASA Ames |
Texas A |
Temporal Causal Diagrams for Diagnosing Failures in Cyber-Physical Systems Nagabhushan Mahadevan1, Abhishek Dubey2, Gabor Karsai3, Anurag Srivastava4, Chen-Ching Liu5– 1,2,3 Institute for Software-Integrated Systems, Vanderbilt University, Nashville, TN 37212, USA 4,5 The School Of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 99163, USA |
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Case Study: Models for Detecting Low Oil Pressure Anomalies on Commercial Vehicles Howard E. Bussey1, Nenad G. Nenadic2, Paul A. Ardis3, Michael G. Thurston4– 1 Tixlers Letters, PO BOX 831, Pittsford NY 14534 2,4 Golisano Institute of Sustainability, Rochester Institute of Technology, Rochester, NY 14623 USA 3 GE Global Research,1 Research Circle Bldg. K1-4A6, Niskayuna, NY 12309 |
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Decentralized Approach for Fault Diagnosis of Three Cell Converters Hanane Louajri1, Moamar Sayed-Mouchaweh2– 1,2 Université Lille Nord de France, Mines-Douai, IA 941, rue Charles Bourseul 59508 Douai, France |
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10h30–12h00 | Session 4B: Structural Health Management I Session Chair: Shankar Sankararaman–SGT Inc., NASA Ames |
Texas B |
Improved Probabilistic Remaining Useful Life Estimation in Structures: Modeling Multi-site Fatigue Cracking in Oil and Gas Service Structures Abdallah Al Tamimi1, Mohammad Modarres2– 1,2 University of Maryland, College Park, Maryland, 20740, USA |
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Imaging and Information Processing of Pitting-Corroded Aluminum Alloy Panels with Surface Metrology Methods Honglei Li1, Margaret R. Garvan2, Jiaming Li3, Javier Echauz4, Douglas Brown5, George J. Vachtsevanos6– 1,2,3,6 Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA 4 JE Research, Inc., 170 Wentworth Terrace, Alpharetta, GA 30022, USA 5 Analatom, Inc.,562 E. Weddell Suite 4, Sunnyvale, CA 94089-2108, USA |
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A Novel Linear Polarization Resistance Corrosion Sensing Methodology for Aircraft Structure Douglas W. Brown1, Richard J. Connolly2, Bernard Laskowski3, Margaret Garvan4, Honglei Li5, Vinod S. Agarwala6, George Vachtsevanos7– 1,2,3 Analatom, Inc., 3210 Scott Blvd., Santa Clara, CA 95054, USA 4,5,7 Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA 6 Iron Pillar Technical Services, 1600 Green Street, Philadelphia, PA 19130, USA |
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10h30–12h00 | Session 4C: Analytical PHM Methods II Session Chair: Vivek Agarwal–Idaho National Laboratories |
Texas C |
On the Use of Particle Flow to Enhance the Computational Performance of Particle-Filtering-based Prognostics Javier A. Oliva1, Torsten Bertram2– 1,2 Institute of Control Theory and Systems Engineering, Technische Universität Dortmund, Germany |
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Efficient Dependency Computation for Dynamic Hybrid Bayesian Network in On-line System Health Management Applications Chonlagarn Iamsumang1, Ali Mosleh2, Mohammad Modarres3– 1,2,3 The Center for Risk and Reliability, University of Maryland College Park, Maryland, USA |
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Prognostic Optimization of Phased Array Antenna for Self-Healing David Allen1– 1 HRL Laboratories, LLC, Malibu, CA, 90265, USA |
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12h00–13h00 | Lunch Break (on your own) | |
13h30–15h00 | Tutorial Session 5 – Open Systems Architecture for Condition Based Maintenance (OSA-CBM) Dr. Karl Reichard |
Crystal A |
13h30–15h00 | Panel Session 3 – Commercial Aerospace PHM/IVHM Rhonda Walthall and Robby O’Dell |
Crystal B |
13h30–15h00 | Session 5A: Uncertainty in Diagnostics and Prognostics Session Chair: Sankaran Mahadevan–Vanderbilt University |
Texas A |
Multiple-imputation-particle-filtering scheme for Uncertainty Characterization in Battery State-of-Charge Estimation Problems with Missing Measurement Data David E. Acuña1, Marcos E. Orchard2, Jorge F. Silva3, Aramis Pérez4– 1,2,3,4 Universidad de Chile, Department of Electrical Engineering. Av. Tupper 2007, Santiago, Chile |
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Qualitative Event-Based Fault Isolation under Uncertain Observations Matthew Daigle1, Indranil Roychoudhury2, Anibal Bregon3– 1 NASA Ames Research Center, Moffett Field, California, 94035, USA 2 SGT Inc., NASA Ames Research Center, Moffett Field, California, 94035, USA 3 Department of Computer Science, University of Valladolid, Valladolid, Spain |
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Uncertainty in Steady-State Diagnostics of a Current-Pressure Transducer: How Confident are We in Diagnosing Faults? Shankar Sankararaman1, Christopher Teubert2, Kai Goebel3– 1,2 SGT Inc., NASA Ames Research Center, Moffett Field, CA 94035, USA 3 NASA Ames Research Center, Moffett Field, CA 94035, USA |
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13h30–15h00 | Session 5B: Fault Detection Methods Session Chair: Bin Zhang–University of South Carolina |
Texas B |
Equipment Health Monitoring with Non-Parametric Statistics for Online Early Detection and Scoring of Degradation Maizura Mokhtar1, Joseph C. Edge2, Andrew R. Mills3– 1,3 Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, S1 3JD, United Kingdom 2 Rolls-Royce plc, PO Box 31, Derby, England |
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A Generalized Machine Fault Detection Method Using Unified Change Detection Wenyi Wang1, David Forrester2, Peter Frith3– 1,2,3 Aerospace Division, Defence Science and Technology Organisation, Melbourne, VIC 3207, Australia |
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Evolving Fuzzy Classifier based on Clustering Algorithm and Drift Detection for Fault Diagnosis Applications Maurilio Inacio1, Andre Lemos2, Walmir Caminhas3– 1 Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, 31270-901, Brazil 1 Dept. of Computer Engineering, Faculdade de Ciencia e Tecnologia de Montes Claros, Montes Claros, 39400-142, Brazil 2,3 Dept. of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, 31270-901, Brazil |
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13h30–15h00 | Session 5C: PHM Applications I Session Chair: Chetan Kulkarni–SGT Inc., NASA Ames |
Texas C |
Novel Real-Time Nondestructive Technology for Chemical and Structural Health Management of Solid Rocket Propellants Sami Daoud1, Michal J. Villeburn2, Kevin D. Bailey3, Gordon Kinloch4– 1,2,3 Raytheon Missile Systems, Tucson, Arizona, 85734, United States of America 4 United Kingdom Ministry of Defense, Bristol, BS34 8JH, United Kingdom |
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Online Normalization Algorithm for Engine Turbofan Monitoring Jérôme Lacaille1, Anastasios Bellas2– 1 Snecma, 77550 Moissy-Cramayel, France 2 SAMM, Université Panthéon-Sorbonne, 75013 Paris, France |
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Integrated Multivariate Health Monitoring System for Helicopters Main Rotor Drives: Development and Validation with In-Service Data Alberto Bellazzi1, Giovanni Jacazio2, Bruno Maino3, Gueorgui Mihaylov4, Franco Pellerey5, Massimo Sorli6– 1,3 AgustaWestland, Cascina Costa di Samarate, VA 21017 VA , Italy 2,4,6 Politecnico di Torino, Department of Mechanical and Aerospace Engineering, Turin, 10129 TO, Italy 5 Politecnico di Torino, Department of Mathematical Sciences, Turin, 10129 TO, Italy |
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15h00–15h30 | Networking Break | Crystal C |
15h30–17h00 | Tutorial Session 6 – Perspectives on Creating Cost-Benefit Analyses for PHM Systems Chris Pomfret |
Crystal A |
15h30–17h00 | Panel Session 4 – Manufacturing/Production PHM Yan Lu, Jay Lee, and Justinian Rosca |
Crystal D |
18h00–18h30 | Bus Loading | Hilton Lobby |
18h30–22h00 | Social Hour, Banquet Dinner, and Awards Ceremony | Fort Worth Museum of Science and History |
Thursday, October 2, 2014 | Location | |
7h00–17h00 | Conference Registration | West Promenade |
7h00–8h00 | Breakfast for Registrants | Crystal D |
08h00–08h30 | Opening Remarks |
Crystal D |
08h30–12h00 | Scheduled Technology Demo | Citizens B & C |
08h30–10h00 | Panel Session 5 – PHM in the Nuclear Industry: Identifying Challenges and Research Directions Vivek Agarwal |
Crystal B |
08h30–10h00 | Dialogue – PHM Standards Jeff Bird, David Alexander |
Continental |
8h30–10h00 | Session 6A: Cost-Benefit Analysis in PHM Session Chair: Ian Jennions–Cranfield University |
Texas A |
An Aircraft Lifecycle Approach for the Cost-Benefit Analysis of Prognostics and Condition-based Maintenance based on Discrete-Event Simulation Nico B. Hölzel1, Thomas Schilling2, Volker Gollnick3– 1,2,3 DLR – German Aerospace Center, Air Transportation Systems, Hamburg, 21079, Germany |
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A Reference Stack for PHM Architectures Charles Crabb1– 1 LogTech, LLC, Wall, NJ, 08736, USA |
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Managing Fleet Wide Sensory Data: Lessons Learned in Dealing with Volume, Velocity, Variety, Veracity, Value and Visibility Preston Johnson1– 1 National Instruments, Austin, Texas, 78759, USA |
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8h30–10h00 | Session 6B: Model-Based Methods in PHM Session Chair: Kai Goebel–NASA Ames |
Texas B |
Fault Diagnosis and Prognosis Based on Lebesgue Sampling Bin Zhang1, Xiaofeng Wang2– 1,2 Department of Electrical Engineering, University of South Carolina, Columbia SC, USA |
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Fault Detection and Severity Analysis of Servo Valves Using Recurrence Quantification Analysis M. Samadani1, C. A. Kitio Kwuimy2, C. Nataraj3– 1,2,3 Department of Mechanical Engineering, Villanova University, Villanova, PA, 19085, USA |
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Model-Based Fault Diagnosis of a Planetary Gear Using Transmission Error Jungho Park1, Jong Moon Ha2, Byeng D. Youn3, Sang Hyuck Leem4, Joo-Ho Choi5, Nam Ho Kim6– 1,2,3 Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-742, Republic of Korea 4,5 Department of Aerospace & Mechanical Engineering, Korea Aerospace University, Goyang, Gyeonggido, 412-791 6 Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611, USA |
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8h30–10h00 | Session 6C: PHM Applications II Session Chair: Rhonda Walthall–UTC Aerospace Systems |
Texas C |
Adaptation of an Electrochemistry-based Li-Ion Battery Model to Account for Deterioration Observed Under Randomized Use Brian Bole1, Chetan S. Kulkarni2, Matthew Daigle3– 1,2 SGT, Inc., NASA Ames Research Center, Moffett Field, CA 94035 3 NASA Ames Research Center, Moffett Field, CA 94035 |
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Application of Unscented Kalman Filter for Condition Monitoring of an Organic Rankine Cycle Turbogenerator Leonardo Pierobon1, Rune Schlanbusch2, Rambabu Kandepu3, Fredrik Haglind4– 1,4 Department of Mechanical Engineering, Technical University of Denmark 2,3 Teknova AS |
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A Probabilistic Approach for Reliability and Life Prediction of Electronics in Drilling and Evaluation Tools Amit A. Kale1, Katrina Carter-Journet2, Troy A. Falgout3, Ludger Heuermann-Kuehn4, Derick Zurcher5– 1,2,3,4,5 Baker Hughes Incorporated, Houston, Texas, 77379,USA |
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10h00–10h30 | Networking Break | Crystal C |
10h30–12h00 | Panel Session 6 – Fielded Systems — Experience and Lessons Learned Tom Mooney, Ravi Rajamani, and Andy Hess |
Crystal B |
10h30–12h00 | Dialogue – Continuing Professional Developemnt for PHM Karl Reichard, Jeff Bird, and Nancy Madge |
Continental |
10h30–12h00 | Session 7A: Performance Evaluation and Risk Analysis in PHM Session Chair: Eric Bechhoefer–GPMS LLC |
Texas A |
Are Current Prognostic Performance Evaluation Practices Sufficient and Meaningful? Shankar Sankararaman1, Abhinav Saxena2, Kai Goebel3– 1,2 SGT Inc., NASA Ames Research Center, Moffett Field, CA 94035, USA 3 NASA Ames Research Center, Moffett Field, CA 94035, USA |
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A Novel Human-Machine Interface Framework for Improved System Performance and Conflict Resolution Jiaming Li1, George Vachtsevanos2– 1,2 Department of Electrical and Computer Engineering, Georgia Institute of Technology |
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Analysis Quality Index – What confidence do you have in your risk analysis? Leila Salhi1, Jacek Stecki2, Chris Stecki3– 1,2,3 PHM Technology Pty Ltd, Melbourne, Victoria, 3104, Australia |
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10h30–12h00 | Session 7B: Structural Health Management II Session Chair: Ash Thakker–Global Technology Connection, Inc. |
Texas B |
Challenges in Concrete Structures Health Monitoring Sankaran Mahadevan1, Douglas Adams2, David Kosson3– 1,2,3 Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN, 37235, USA |
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Investigating Vibration Properties of a Planetary Gear Set with a Cracked Tooth in a Planet Gear Xihui Liang1, Ming J. Zuo2– 1,2 Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, T6G2G8, Canada |
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10h30–12h00 | Session 7C: Manufacting and PHM Session Chair: Jamie Baalis Coble–University of Tennessee, Knoxville |
Texas C |
Standards for Prognostics and Health Management (PHM) Techniques within Manufacturing Operations Gregory W. Vogl1, Brian A. Weiss2, M. Alkan Donmez3– 1,2,3 National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, USA |
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A Self-Aware Machine Platform in Manufacturing Shop Floor Utilizing MTConnect Data Linxia Liao1, Raj Minhas2, Arvind Rangarajan3, Tolga Kurtoglu4, Johan de Kleer5– 1,2,4,5 Palo Alto Research Center, Palo Alto, CA, 94304, USA 3 General Electric Global Research, San Ramon, CA, 94583, USA |
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Fault Tolerant Control for manufacturing discrete systems by filter and diagnoser interactions A. Philippot1, P. Marangé2, F. Gellot3, J.F. Pétin4, B. Riera5– 1,3,5 Centre de Recherche en STIC (CReSTIC) – University of Reims Champagne-Ardenne (URCA), Reims, France 2,4 Centre de Recherche en Automatique de Nancy (CRAN) – University of Lorraine, CNRS, Vandœuvre-lès-Nancy, France |
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12h00–13h30 | Lunch Break (on your own) | |
13h30–15h00 | Technology Demo, Sponsors Tables and Regsitration Teardown | Citizens B & C |
13h30–15h00 | Session 8A: Data-driven Methods in PHM Session Chair: Neil Eklund–Schlumberger |
Texas A |
A Novel Feature Extraction Method for Monitoring (Vehicular) Fuel Storage System Leaks Fling Tseng1, Imad H. Makki2, Dimitar P. Filev3, Ratna Babu Chinnam4– 1,2,3 Research and Advanced Engineering, Ford Motor Company, Dearborn, MI 48121, USA 4 Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI 48202, USA |
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Review and Analysis of Algorithmic Approaches Developed for Prognostics on CMAPSS Dataset Emmanuel Ramasso1, Abhinav Saxena2– 1 FEMTO-ST Institute, Dep. AS2M/DMA, UMR CNRS 6174 – UFC / ENSMM / UTBM, 25000 Besanc¸on, France 2 SGT Inc., NASA Ames Research Center, Intelligent Systems Division, Moffett Field, CA, 94035-1000, USA |
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Enhanced Trajectory Based Similarity Prediction with Uncertainty Quantification Jack Lam1, Shankar Sankararaman2, Bryan Stewart3– 1,3 Naval Surface Warfare Center Port Hueneme Division, Port Hueneme, CA, 93043, USA 2 SGT Inc., NASA Ames Research Center, Moffett Field, CA 94035, USA |
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13h30–15h00 | Session 8B: Condition-Based Monitoring Session Chair: Ruoyu Li–SKF |
Texas B |
Survey of Condition Indicators for Condition Monitoring Systems Junda Zhu1, Tom Nostrand2, Cody Spiegel3, Brogan Morton4– 1,2,3,4 Renewable NRG Systems, Hinesburg, Vermont, 05461, USA |
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Estimation of Bogie Performance Criteria Through On-Board Condition Monitoring Parham Shahidi1, Dan Maraini2, Brad Hopkins3, Andrew Seidel4– 1,2,3,4 Amsted Rail Company, Inc. Chicago, IL, 60606, USA |
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Particle Filtering-Based System Degradation Prediction Applied to Jet Engines Peng Wang1, Robert X. Gao2– 1,2 Department of Mechanical Engineering, University of Connecticut, Storrs, CT, 06269, USA, engr.uconn.edu |
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13h30–15h00 | Session 8C: Maintenance and Logistics in PHM Session Chair: Karl Reichard–Penn State |
Texas C |
Building a Data-Driven Vital Sign Indicator for an Economically Optimized Component Replacement Policy Hyung-il Ahn1, Ying Tat Leung2, Axel Hochstein3– 1,3 GE Software, GE Global Research, San Ramon, CA, 94583, USA 2 IBM Almaden Research Center, San Jose, CA, 95120, USA |
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Aircraft Hydraulic System Leakage Detection and Servicing Recommendations Method Wlamir O. L. Vianna1, João Pedro P. Malere2– 1,2 EMBRAER S.A., São José dos Campos, São Paulo, 12227-901, Brazil |
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Inspection of the Integrity of a Multi-Bolt Robotic Arm Using a Scanning Laser Vibrometer and Implementing the Surface Response to Excitation Method (SuRE) Hadi Fekrmandi1, Javier Rojas2, Jason Campbell3, Ibrahim Nur Tansel4, Bulent Kaya5, Sezai Taskin6– 1,2,3,4 Florida International University, Miami, FL, USA 5 Erciyes University, Kayseri, Turkey 6 Celal Bayar University, Manisa, Turkey |
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13h30–15h00 | PHM 2015 Planning Meeting | Continental |
15h00–15h30 | Final Remarks and Conference Closing |
Crystal D |
Accepted Posters |
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Cost-Benefit Analysis and Specification of Component-level PHM Systems in Aircrafts Alexander Kählert1, Sebastian Giljohann2, Uwe Klingauf3– 1,3 Institute of Flight Systems and Automatic Control, Technische Universität Darmstadt, Darmstadt, Hessen, 64287, Germany 2 Lufthansa Technik, Frankfurt/M, Hessen, 60546, Germany |
A Framework for Model-Based Diagnostics and Prognostics of Switched-Mode Power Supplies Honglei Li1, Xuerong Ye2, Cen Chen3, George Vachtsevanos4– 1,4 Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA 2,3 School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, 150001, China |
Anomaly Detection Techniques for the Condition Monitoring of Tidal Turbines Grant S. Galloway1, Victoria M. Catterson2, Craig Love3, Andrew Robb4– 1,2 Institute for Energy and Environment, Dept. EEE, University of Strathclyde, Glasgow, G1 1XW, UK 3,4 Andritz Hydro Hammerfest, Glasgow, G52 4RU, UK |
Detection of Wind Turbine Power Performance Abnormalities Using Eigenvalue Analysis Georgios Alexandros Skrimpas1, Christian Walsted Sweeney2, Kun S. Marhadi3, Bogi Bech Jensen4, Nenad Mijatovic5, Joachim Holbøll6– 1,2,3 Brüel and Kjœr Vibro, Nœrum, 2850, Denmark 4 University of the Faroe Islands, Tórshavn, 100, Faroe Islands 5,6 Technical University of Denmark, Lyngby, 2800, Denmark |
A PHM Approach to Additive Manufacturing Equipment Health Monitoring, Fault Diagnosis, and Quality Control Jae Yoon1, David He2, Brandon Van Hecke3– 1,2,3 University of Illinois at Chicago, Chicago, IL, 60607, USA |
ALC Post Implementation Analysis of CBM+ Benefits Matthew Carter1, Josh Kennedy2– 1,2 ALC SSD SOA Contractor Support Staff and Employee Owner at Modern Technology Solutions, Inc., Associate Director, U. S. Army Aviation & Missile Command (AMCOM) Logistics Center (ALC), Supportability and Sustainment, Directorate (SSD), Sustainment Optimization & Analysis (SOA), Redstone Arsenal 35808 AL,USA |
Dependable Wireless Sensor Networks for Prognostics and Health Management: A Survey W. Elghazel1, J.M. Bahi2, C. Guyeux3, M. Hakem4, K. Medjaher5, N. Zerhouni6– 1,5,6 Automatic Control and Micro-Mechatronic Systems Department, FEMTO-ST Institute 2,3,4 Computer Science and Complex Systems Department, FEMTO-ST Institute |
Modeling Degradation Using Thermodynamic Entropy M. D. Bryant1– 1 University of Texas at Austin, Austin, TX, USA |
Electrochemical Impedance Spectroscopy for Coating Evaluation using a Micro Sensor Nicholas Waters1, Richard Connolly2, Douglas Brown3, Bernard Laskowski4– 1,2,3,4 Analatom Inc., Santa Clara, CA 95054, USA |
A Time-domain Modeling and Simulation Framework for Comparative Analysis of Prognostics, Reliability and Robustness in System Design Nicholas A. Lambert1, Kyle B. Ferrio2, Douglas L. Goodman3– 1,2,3 Ridgetop Group, Inc., Tucson, AZ, 85741, USA |
Eddy current signatures classification by using time series: a system modeling approach Blaise Guépié1, Mihaly Petreczky2, Stéphane Lecoeuche3– 1,2,3 Mines Douai, IA, F-59508 Douai, France |
Operation Condition Monitoring using Temporal weighted Dempster-Shafer Theory Xiaoyun Wang1, Tingdi Zhao2– 1,2 School of System Engineering and Reliability, BeiHang University, Bejiing,100191, China |
Modeling Hydraulic Components for Automated FMEA of a Braking System Peter Struss1, Alessandro Fraracci2– 1,2 Tech. Univ. of Munich, 85748 Garching, Germany |