Agenda
Agenda – Overview
Venue Map – Coronado Island Marriott
Agenda
Sunday, October 18, 2015 — Doctoral Symposium
Monday, October 19, 2015 — Doctoral Symposium, Tutorials, Panels
Tuesday, October 20, 2015 — Opening Remarks, Luminaries, Tutorials, Technical Paper Sessions, Technology Demos, Cocktail Reception and Poster Session
Wednesday, October 21, 2015 — Technical Paper Sessions, Panels, Invited Sessions, Workshop Sessions, Technology Demos, Social Hour, Banquet Dinner
Thursday, October 22, 2015 — Technical Paper Sessions, Panel Sessions, Closing Remarks
| Sunday, October 18, 2015 | Location | |
|---|---|---|
| 16:00–17:00 | Registration | Ballroom Foyer |
| 17:00–20:00 | Doctoral Symposium Session 1 | Salon A |
| 20:00–20:30 | Break | Ballroom Foyer |
| 20:30–22:00 | Doctoral Symposium Session 2 | Salon A |
| Monday, October 19, 2015 | Location | |
| 7:00–17:00 | Registration | Ballroom Foyer |
| 7:00–10:00 | Doctoral Symposium Session 3 | Salon A |
| 10:00–10:30 | Break | Ballroom Foyer |
| 10:30–12:00 | Doctoral Symposium Session 4 | Salon A |
| 10:30–12:00 | Tutorial Session 1: Diagnostics | Tidelands Ballroom |
| 12:00–13:30 | Doctoral Symposium Lunch | |
| 13:00–13:30 | Conference Program Formal Commencement | Salon C and D |
| 13:30–15:00 | Keynote Speaker – Richard Greaves, President SAE, Retired CTO, Meggitt | Salon C and D |
| 15:00–15:30 | Networking Break | Ballroom Foyer |
| 15:30–17:00 | Panel Session 1: Standards | Salon B |
| 15:30–17:00 | Tutorial Session 2: Prognostics | Tidelands Ballroom |
| 17:00–19:00 | Sponsored Cocktail Reception | Beachside Patio |
| Tuesday, October 20, 2015 | Location | |
| 7:00–17:00 | Registration | Ballroom Foyer |
| 8:00–8:30 | Opening Remarks | Salon C and D |
| 8:30–11:30 | Luminaries Session | Salon C and D |
| 11:30–13:00 | Symposium Lunch and Keynote Speech – Louis Celiberti, Director, Control & Diagnostic Systems, Pratt & Whitney | Salon C and D |
| 13:00–14:30 | Session 1A: Diagnostics Methods I Session Chair: Zoleikha Abdollahi–Clemson University |
Salon A |
| D-matrix Based Fault Modeling for Cryogenic Loading Systems Anuradha Kodali1, Ekaterina Ponizovskaya-Devine2, Peter Robinson3, Dmitry Luchinsky4, Anupa Bajwa5, Michael Khasin6, Jose Perotti7, Barbara Brown8– 1 University of California Santa Cruz, NASA Ames Research Center, Moffett Field, CA, 94035 2,6 SGT Inc., NASA Ames Research Center, Moffett Field, CA, 94035 3,5 NASA Ames Research Center, Moffett Field, CA, 94035 4 Mission Critical Technologies, Inc., El Segundo, CA, 94035, USA 7,8 Kennedy Space Center, Florida, 32899, USA |
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| Fault diagnostics and evaluation in cryogenic loading system using optimization algorithm Ekaterina Ponizovskaya-Devine1, Dmitry G Luchinsky2, Anu Kodali3, Michael Khasin4, Dogan Timucin5, Jarred Sass6, Jose Perotti7, Barbara Brown8– 1,3,4 SGT, Inc., Greenbelt, MD, 20770, USA 2 Mission Critical Technologies, Inc., El Segundo, CA, 90245, USA 5 NASA Ames Research Center, Moffett Field, CA, 94035, USA 6,7,8 Kennedy Space Center, Kennedy Space Center, FL, 32899, USA |
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| Model based Online Fault Diagnosis of Automotive Engines using Joint State and Parameter Estimation Nadeer E P1, Amit Patra2, Siddhartha Mukhopadhyay3– 1,2,3 Indian Institute of Technology, Kharagpur, West Bengal, 721302, India |
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| 13:00–14:30 | Session 1B: PHM Applications I Session Chair: Peng Wang–Case Western University |
Coronado 2 and 3 |
| Interactive Multiple-Model Application for Hydraulic Servovalve Health Monitoring Wlamir Olivares Loesch Vianna1, Takashi Yoneyama2– 1 EMBRAER S.A., São José dos Campos, São Paulo, 12227-901, Brazil 2 ITA – Instituto Tecnológico de Aeronáutica, São José dos Campos, São Paulo, 12228-900, Brazil |
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| Lessons Learned in Implementing a Practical Aircraft System Health Management (ASHM) System Joshua Koelle1, Matthew Smith2, Peter Sulcs3, Greg Kacprzynski4, Rhonda Walthall5– 1,2,3,4 Impact Technologies, a Sikorsky Innovations Company, Rochester, NY, 14623, USA 5 UTC Aerospace Systems, San Diego, CA, 92123, USA |
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| Sensor-Based Degradation Prediction and Prognostics for Remaining Useful Life Estimation – Validation on Experimental Data of Electric Motors Federico Barbieri1, J. Wesley Hines2, Michael Sharp3, Mauro Venturini4– 1,4 Dipartimento di Ingegneria, Universita degli Studi di Ferrara, Ferrara, Italy 2,3 Department of Nuclear Engineering, The University of Tennessee Knoxville, Knoxville, TN, USA |
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| 13:00–14:30 | Session 1C: Prognostics Methods I Session Chair: Kai Goebel–NASA Ames Research Center |
Coronado 7 |
| A Systems Approach To PHM Thomas D. Mooney1– 1 SOAR Engineering LLC |
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| Real-time Prognostics of a Rotary Valve Actuator Matthew Daigle1– 1 NASA Ames Research Center, Moffett Field, CA, 94035, USA |
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| Model-based Prognostics of Hybrid Systems Matthew Daigle1, Indranil Roychoudhury2, Anibal Bregon3– 1 NASA Ames Research Center, Moffett Field, California, 94035, USA 2 Stinger Ghaffarian Technologies Inc., NASA Ames Research Center, Moffett Field, California, 94035, USA 3 Department of Computer Science, University of Valladolid, Valladolid, Spain |
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| 13:00–14:30 | Tutorial Session 3: Feature Extraction | Tidelands Ballroom |
| 13:00–14:30 | Technology Demo 1: PHM Sensor Suites for Aircraft Electrical Systems and Stationary Smart Grids, Sporian Microsystems | Coronado 4 and 5 |
| 13:00–14:30 | Job Fair | Coronado 6 |
| 14:30–15:00 | Networking Break | Ballroom Foyer |
| 15:00–16:30 | Session 2A: Diagnostics Methods II Session Chair: Christopher Ley–University of Chile |
Salon A |
| Online Monitoring and Fault Diagnosis of Hybrid Systems Using Switched Dynamic Bayesian Networks Gan Zhou1, Gautam Biswas2, Wenquan Feng3, Xiumei Guan4– 1,3,4 School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China 2 Institute for Software Integrated Systems,Vanderbilt University, Nashville, TN 37235, USA |
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| From Theory to Practice: Model-Based Diagnosis in Industrial Applications Roxane Koitz1, Franz Wotawa2– 1,2 Institute for Software Technology, Graz, Styria, 8010, Austria |
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| Characterization of Phase Space Topology Using Density: Application to Fault Diagnostics Mohsen Samadani1, Cedrick A. Kitio Kwuimy2, C. Nataraj3– 1,2,3 The Villanova Center for Analytics of Dynamic Systems (VCADS) |
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| 15:00–16:30 | Session 2B: PHM Applications II Session Chair: Wuzhao Yan–University of South Carolina |
Coronado 2 and 3 |
| Prognostics and Health Management of an Electro-Hydraulic Servo Actuator Andrea Mornacchi1, George Vachtsevanos2, Giovanni Jacazio3– 1,3 Politecnico di Torino – Department of Mechanical and Aerospace Engineering, Turin, 10129, Italy 2 Georgia Institute of Technology, Atlanta, GA, 30332, USA |
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| Variable Selection and Indices Proposal for the Determination of an Aeronautic Valve Degradation Ananda S. Ribeiro1, Takashi Yoneyama2, Rodrigo F. Souto3, Wallace Turcio4– 1,3,4 Embraer S.A., S.J. dos Campos, SP, 12227901, Brazil 2 ITA – Instituto Tecnológico de Aeronáutica, S. J. dos Campos, SP, 12228900, Brazil |
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| Application of Health Management and Diagnostics for Synthetic Aperture Radar (SAR) Payloads Gregory Bower1, Curtis Wrable2, Ross Bird3, Paul Woodford4– 1,2,3 QorTek Inc., Williamsport, PA, 17701 4 KEYW Corporation, 7763 Old Telegraph Road, Severn, MD 21144 |
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| 15:00–16:30 | Session 2C: Prognostics Methods II Session Chair: Viet Hung Nguyen–Nanyang Tech |
Coronado 7 |
| Estimating Remaining Useful Life Using Actuarial Methods Eric Bechhoefer1, Rune Schlanbusch2, Tor Inge Waag3– 1,2,3 Teknova AS, Kristiansand, Norway 3 MHWirth AS, Kristiansand, Norway |
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| Remaining Useful Life Prediction through Failure Probability Computation for Condition-based Prognostics Shankar Sankararaman1– 1 SGT Inc., NASA Ames Research Center, Moffett Field, CA 94035, USA |
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| Damage Accumulation: A New Generalized Machine Health and Condition Indicator for Continuous Monitoring Jacob Loverich1, Jeremy Frank2, David Kraige3, Gary Koopmann4, Ashok Belegundu5, Michael Grissom6– 1,2,3,4,6 KCF Technologies, Inc., State College, PA 16801, USA 5 The Pennsylvania State University, University Park, PA 16802, USA |
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| 15:00–16:30 | Tutorial Session 4: Return on Investment | Tidelands Ballroom |
| 15:00–16:30 | Technology Demo 2: GTC’s Generic Agent for Distributed Software (GADS) Framework, Global Technology Connection | Coronado 4 and 5 |
| 15:00–16:30 | Job Fair | Coronado 6 |
| 16:30–18:00 | Sponsored Cocktail Reception and Live Poster Presentation | Salon C and D |
| Wednesday, October 21, 2015 | Location | |
| 7:00–17:00 | Registration | Ballroom Foyer |
| 7:00–8:00 | Breakfast | Ballroom Foyer |
| 8:00–8:30 | Opening Remarks and Keynote – Kevin Bostick, SES AMC | Salon C and D |
| 8:30–10:00 | Session 3A: Battery PHM Session Chair: Chetan Kulkarni–SGT Inc. |
Salon A |
| Battery Capacity Anomaly Detection and Data Fusion John Weddington1, Wuzhao Yan2, Wanchun Dou3, Bin Zhang4– 1,2,4 Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA 3 Department of Computer Science & Technology, State Key Lab. For Novel Software Technology, Nanjing University |
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| Parameters Adaption of Lebesgue Sampling-based Diagnosis and Prognosis for Li-ion Batteries Wuzhao Yan1, Wanchun Dou2, Datong Liu3, Yu Peng4, Bin Zhang5– 1,5 Department of Electrical Engineering 2 Department of Computer Science & Technology, State Key Lab. for Novel Software Technology 3,4 Department of Automatic Test and Control |
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| Lithium-Ion Battery End-of-Discharge Time Estimation and Prognosis based on Bayesian Algorithms and Outer Feedback Correction Loops: A Comparative Analysis Carlos Tampier1, Aramis Pérez2, Francisco Jaramillo3, Vanessa Quintero4, Marcos E. Orchard5, Jorge F. Silva6– 1,2,3,4,5,6 Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile |
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| 8:30–10:00 | Session 3B: Prognostics and Health Management Design Session Chair: Matthew Smith–Impact Technologies |
Coronado 2 and 3 |
| Towards a Methodology for Design of Prognostic Systems Jose Ignacio Aizpurua1, Victoria M. Catterson2– 1,2 Institute for Energy and Environment, University of Strathclyde, Glasgow, United Kingdom |
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| System Interdependency Modeling in the Design of Prognostic and Health Management Systems in Smart Manufacturing M.L. Malinowski1, P.A. Beling2, Y.Y. Haimes3, A. LaViers4, J.A. Marvel5, B.A. Weiss6– 1,2,3,4 University of Virginia, Charlottesville, Virginia, 22904, USA 5,6 National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, USA |
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| 8:30–10:00 | Session 3C: Control Session Chair: Mohsen Khalili–Wright State University |
Coronado 7 |
| Robust Fault-Tolerant Control approach for a Takagi-Sugeno-Linear Parameter Varying System applied to Aircraft Variable Geometries Systems Yani Souami1, Nazih Mechbal2, Stephane Ecoutin3– 1,2 Process and Engineering in Mechanics and Materials Laboratory (PIMM) CNRS-UMR 8006 3 Snecma, Rond-point René Ravau, 77550 Réau, France |
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| Distributed Adaptive Fault-Tolerant Consensus Control of Multi-Agent Systems with Actuator Faults Mohsen Khalili1, Xiaodong Zhang2, Yongcan Cao3, Jonathan A. Muse4– 1,2 Wright State University, Dayton, OH 45435, USA 3,4 Air Force Research Laboratory, Wright-Patterson AFB, OH 45433, USA |
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| Device Health Estimation by Combining Contextual Control Information with Sensor Data and Device Health Prognostics Utilizing Restricted Boltzmann Machine Linxia Liao1, Tomonori Honda2, Radu Pavel3– 1,2 Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA, 94304, USA 3 TechSolve, Inc., 6705 Steger Dr, Cincinnati, OH, 45237, USA |
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| 8:30–10:00 | Panel Session 2: Automotive | Salon B |
| 8:30–10:00 | Invited Session 1: Fielded Systems | Tidelands Ballroom |
| 8:30–10:00 | Job Fair | Coronado 6 |
| 10:00–10:30 | Networking Break | Ballroom Foyer |
| 10:30–12:00 | Session 4A: Electronics PHM Session Chair: Karl Reichard–Pennsylvania State University |
Salon A |
| A Review of Prognostics and Health Management for Power Semiconductor Modules Nicolas Degrenne1, Jeffrey Ewanchuk2, Erwan David3, Roman Boldyrjew4, Stefan Mollov5– 1,2,3,4,5 Mitsubishi Electric R&D Centre Europe, Rennes, 35708, France |
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| A Self-Organizing Map-Based Monitoring System for Insulated Gate Bipolar Transistors Operating in Fully Electric Vehicle Marco Rigamonti1, Piero Baraldi2, Enrico Zio3, Allegra Alessi4, Daniel Astigarraga5, Ainhoa Galarza6– 1,2,3,4 Energy Department, Politecnico di Milano, Via Ponzio 34/3, Milan, 20133, Italy 3 Chair on Systems Science and the Energetic challenge, European Foundation for New Energy-Electricite’ de France, Ecole 5,6 CEIT, Manuel de Lardizabal 15, San Sebastian, 20018, Spain |
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| Analysis of Electrolytic Capacitor Degradation under Electrical Overstress for Prognostic Studies Jason Renwick1, Chetan S. Kulkarni2, José R. Celaya3– 1 University of West Indies, St. Agustine, Trinidad and Tabago 2 NASA Ames Research Center (SGT Inc.), Moffett Field, CA, USA 3 Schlumberger, Software Technology and Innovation Center, Menlo Park, CA, USA |
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| 10:30–12:00 | Session 4B: Wind Energy PHM Session Chair: Steve Rodgers–Gastops |
Coronado 2 and 3 |
| Detection of pitch failures in wind turbines using environmental noise recognition techniques Georgios Alexandros Skrimpas1, Kun S. Marhadi2, Robert Gomez3, Christian Walsted Sweeney4, Bogi Bech Jensen5, Nenad Mijatovic6, Joachim Holboell7– 1,2,4 Brüel and Kjœr Vibro, Nœrum, 2850, Denmark 3 Brüel and Kjœr Vibro, Sugar Land, 77478 Texas, USA 5 University of the Faroe Islands, Tórshavn, 100, Faroe Islands 6,7 Technical University of Denmark, Lyngby, 2800, Denmark |
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| PHM Based Predictive Maintenance Option Model for Offshore Wind Farm O&M Optimization Xin Lei1, Peter A. Sandborn2, Navid Goudarzi3, Maira A. Bruck4– 1,2,3,4 CALCE, Department of Mechanical Engineering, College Park, MD, 20742 |
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| Review of Markov Models for Maintenance Optimization in the Context of Offshore Wind Rafael Dawid1, David McMillan2, Matthew Revie3– 1,2 Strathclyde University, Department of Electronic and Electrical Engineering, Glasgow, United Kingdom 3 Strathclyde University, Department of Management Science, Glasgow, United Kingdom |
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| 10:30–12:00 | Session 4C: Data-driven Methods I Session Chair: David He–University of Illinois – Chicago |
Coronado 7 |
| Quadrotor Accelerometer and Gyroscope Sensor Fault Diagnosis with Experimental Results Remus C Avram1, Xiaodong Zhang2, Jonathan Muse3– 1,2 Wright State University, Dayton, Ohio, 45404, USA 3 Air Force Research Laboratory, Dayton, OH, 45433, USA |
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| Omni-Directional Regeneration (ODR) of Gap Sensor Signal for Journal Bearing System Diagnosis Joon Ha Jung1, Byung Chul Jeon2, Byeng D. Youn3, Donghwan Kim4, Yeonwhan Kim5– 1,2,3 Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-919, Republic of 4,5 Power Generation Laboratory, KEPCO Research Institute, 305-760, Republic of Korea |
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| An Influence Gauge to Detect and Explain Relations between Measurements and a Performance Indicator Jérôme Lacaille1– 1 Snecma Villaroche, 77550 Moissy-Cramayel, France |
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| 10:30–12:00 | Panel Session 3: Smart Manufacturing | Salon B |
| 10:30–12:00 | Workshop Session 1: MFPT | Tidelands Ballroom |
| 10:30–12:00 | Job Fair | Coronado 6 |
| 12:00–13:30 | Lunch on your own | |
| 13:30–15:00 | Session 5A: Manufacturing I Session Chair: Brian Weiss–NIST |
Salon A |
| Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop Brian A. Weiss1, Gregory Vogl2, Moneer Helu3, Guixiu Qiao4, Joan Pellegrino5, Mauricio Justiniano6, Anand Raghunathan7– 1,2,3,4 National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 20899, USA 5,6,7 Energetics Incorporated, Columbia, Maryland, 21046, USA |
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| A New Scheme for Monitoring and Diagnosis of Multistage Manufacturing Processes Using Product Quality Measurements Hossein Davari Ardakani1, Brian Phillips2, Behrad Bagheri3, Jay Lee4– 1,2,3,4 NSF I/UCRC for Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH 45221, USA |
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| A data pipeline for PHM data-driven analytics in large-scale smart manufacturing facilities P. O’Donovan1, K. Leahy2, D. Og Cusack3, K. Bruton4, D. T. J. O’Sullivan5– 1,2,4,5 IERG, Department of Civil and Environmental Engineering, University College, Cork, Ireland 3 Department of Civil and Environmental Engineering, University College, Cork, Ireland |
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| 13:30–15:00 | Session 5B: Sensors Session Chair: Serdar Uckun–CEO and Principal, Telact, LLC |
Coronado 2 and 3 |
| Early Detection of Combustion Instability from Hi-speed Flame Images via Deep Learning and Symbolic Time Series Analysis Soumalya Sarkar1, Kin G Lore2, Soumik Sarkar3, Vikram Ramanan4, Satyanarayanan R Chakravarthy5, Shashi Phoha6, Asok Ray7– 1,6,7 Pennsylvania State University, University Park, Pennsylvania, USA 2,3 Iowa State University, Ames, Iowa, USA 4,5 Indian Institute of Technology Madras, Chennai, India |
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| Neural Network-Based Gear Failure Prediction in a Brushless DC Actuation System Yan Chen1, Christina Lucas2, Jay Lee3, Michael Buehner4– 1,2,3 School of Dynamic Systems, University of Cincinnati, USA 4 Control System, Woodward Inc. Fort Collins, USA |
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| Railcar Bogie Performance Monitoring using Mutual Information and Support Vector Machines Parham Shahidi1, Daniel Maraini2, Brad Hopkins3, Andrew Seidel4– 1,2,3,4 Amsted Rail Company, Inc. Chicago, IL, 60606, USA |
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| 13:30–15:00 | Session 5C: Unmanned Aerial Systems PHM Session Chair: Adam Short–Colorado School of Mines |
Coronado 7 |
| Verification of a Remaining Flying Time Prediction System for Small Electric Aircraft Edward F. Hogge1, Brian M. Bole2, Sixto L. Vazquez3, José R. Celaya4, Thomas H. Strom5, Boyd L. Hill6, Kyle M. Smalling7, Cuong C. Quach8– 1,5,7 Northrop Grumman Technical Services, NASA Langley Research Center, Hampton, Virginia 23681 2,4 Stinger Ghaffarian Technologies, Inc., NASA Ames Research Center, Moffett Field, California 94035 3,8 NASA Langley Research Center, Hampton, Virginia 23681 6 Analytical Mechanics Associates, Inc., NASA Langley Research Center, Hampton, Virginia 23681 |
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| Diagnostic Reasoning using Prognostic Information for Unmanned Aerial Systems Johann Schumann1, Indranil Roychoudhury2, Chetan Kulkarni3– 1,2,3 Stinger Ghaffarian Technologies, Inc., NASA Ames Research Center, Moffett Field, CA, 94040, USA |
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| A V-Diagram for the Design of Integrated Health Management for Unmanned Aerial Systems Andrew E Heaton1, Ip-Shing Fan2, Ian K Jennions3, Craig Lawson4, Jim McFeat5– 1 Civic Drone Centre, University of Central Lancashire, Preston, Lancashire, PR1 2HE, UK 4 Aircraft Design Centre, Cranfield University, Bedfordshire, MK43 0AL, UK 5 BAE Systems, Warton Aerodrome, Preston, Lancashire, PR4 1AX, UK |
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| 13:30–15:00 | Invited Session 2: Cloud Analytics and the Impact on PHM | Tidelands Ballroom |
| 13:30–15:00 | Technology Demo 3: Health Monitoring of Fluids in Aviation Applications using Time Domain Reflectometry (TDR), Meggitt | Coronado 4 and 5 |
| 13:30–15:00 | Job Fair | Coronado 6 |
| 15:00–15:30 | Networking Break | Ballroom Foyer |
| 15:30–17:00 | Session 6A: Manufacturing II Session Chair: Greg Vogl–NIST |
Salon A |
| A Sensor-Based Method for Diagnostics of Machine Tool Linear Axes Gregory W. Vogl1, Brian A. Weiss2, M. Alkan Donmez3– 1,2,3 National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, 20899, USA |
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| Adaptive Multi-Scale PHM for Robotic Assembly Processes Benjamin Y. Choo1, Peter A. Beling2, Amy E. LaViers3, Jeremy A. Marvel4, Brian A. Weiss5– 1,2,3 University of Virginia, Charlottesville, Virginia, 22904, USA 4,5 National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, USA |
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| Quality Control Based Tool Condition Monitoring Amit Kumar Jain1, Bhupesh Kumar Lad2– 1,2 Reliability Engineering Lab, Discipline of Mechanical Engineering, IIT Indore, Indore MP 452020, India |
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| 15:30–17:00 | Session 6B: Data-driven Methods II Session Chair: Zachary Welz–University of Tennessee |
Coronado 2 and 3 |
| Comparison and ensemble of temperature-based and vibration-based methods for machinery prognostics James Kuria Kimotho1, Walter Sextro2– 1,2 Department of Mechatronics and Dynamics, University of Paderborn |
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| Adapting nearest neighbors-based monitoring methods to irregularly sampled measurements Inês M. Cecílio1, James R. Ottewill2, Nina F. Thornhill3– 1,3 Centre for Process System Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK 2 ABB Corporate Research Center, ul. Starowislna 13a, 31-038 Kraków, Poland |
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| On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Weizhong Yan1, Lijie Yu2– 1 General Electric Global Research Center, Niskayuna, New York 12309, USA 2 General Electric Power & Water Engineering, Atlanta, Georgia 30339, USA |
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| 15:30–17:00 | Session 6C: Modeling and Simulation Session Chair: Serdar Uckun–CEO and Principal, Telact, LLC |
Coronado 7 |
| Separated two-phase flow model of cryogenic loading operation Dmitry G Luchinsky1, Ekaterina Ponizovskaya-Devine2, Michael Khasin3, Dogan Timucin4, Jarred Sass5, Jose Perotti6, Barbara Brown7– 1,2 Mission Critical Technologies, Inc., El Segundo, CA, 94035, USA 2,3 SGT, Inc., Greenbelt, MD, USA 4 NASA Ames Research Center, Moffett Field, CA, 94035, USA 5,6,7 Kennedy Space Center, Kennedy Space Center, FL, 32899, USA |
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| Active Mission Success Estimation through PHM-Informed Probabilistic Modelling Adam R. Short1, Douglas L. Van Bossuyt2– 1,2 Colorado School of Mines, Golden, Colorado, 80401, USA |
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| Modeling and Prediction of Criminal Activity Based on Spatio-Temporal Probabilistic Risk Functions Paulina Flores1, Mario Vergara2, Pablo Fuentes3, Francisco Jaramillo4, David Acuña5, Aramis Perez6, Marcos Orchard7– 1,2,3,4,5,6,7 Universidad de Chile, Department of Electrical Engineering,Av. Tupper 2007, Santiago, Chile |
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| 15:30–17:00 | Workshop Session 2: Maritime Prognostics | Tidelands Ballroom |
| 15:30–17:00 | Technology Demo 4: Ridgetop Group’s Sentinal Power™ PHM Demo, Ridgetop Group | Coronado 4 and 5 |
| 18:30–22:00 | Social Hour and Banquet Dinner | Hotel del Coronado |
| Thursday, October 22, 2015 | Location | |
| 7:00–10:00 | Registration | Ballroom Foyer |
| 7:00–8:00 | Breakfast | Ballroom Foyer |
| 8:00–8:30 | Opening Remarks | Salon C and D |
| 8:30–10:00 | Session 7A: Maintenance and Logistics in PHM Session Chair: Scott Clements–Lockheed Martin Aeronautics |
Salon A |
| Cost-benefit Analysis of Prognostics and Condition-based Maintenance Concepts for Commercial Aircraft Considering Prognostic Errors Nico B. Hölzel1, Volker Gollnick2– 1,2 DLR – German Aerospace Center, Air Transportation Systems, Hamburg, 21079, Germany |
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| Cost-Wise Readiness Enabled Through Condition Based Maintenance Plus (CBM+) Josh Kennedy1, Jim Carter2, Matt Carter3– 1 U.S. Army Aviation & Missile Command (AMCOM) Logistics Center (ALC), Supportability and Sustainment Directorate (SSD), Sustainment Optimization & Analysis (SOA), Redstone Arsenal, AL, USA 2 Aviation & Missile Research, Development & Engineering Center (ARMDEC); Reliability, Availability and Maintainability (RAM) Division RSA, AL, USA 3 ALC SSD SOA Contractor Support Staff and Employee Owner at Modern Technology Solutions, Inc; Huntsville, AL, USA |
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| Aircraft Line Maintenance Planning Based on PHM Data and Resources Availability Using Large Neighborhood Search Wlamir Olivares Loesch Vianna1, Leonardo Ramos Rodrigues2, Takashi Yoneyama3– 1,2 EMBRAER S.A., São José dos Campos, São Paulo, 12227-901, Brazil 3 ITA – Instituto Tecnológico de Aeronáutica, São José dos Campos, São Paulo, 12228-900, Brazil |
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| 8:30–10:00 | Session 7B: Rotating Machinery PHM Session Chair: Jamie Coble–University of Tennessee |
Coronado 2 and 3 |
| Cyber Defense of Rotating Machinery Using an Integrated ‘Fuse’ Bearing Evyatar Cohen1, Jacob Bortman2, Renata Klein3– 1,2 Pearlstone Center for Aeronautical Engineering Studies and Laboratory for Mechanical Health Monitoring, Department 3 R.K. Diagnostics, Gilon, P.O.B. 101, D.N. Misgav 20103, Israel |
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| Asynchronous Motor Test Bench for the Generation and Current Signal Diagnostics of Accelerated Bearing Damage Christoph Anger1, Christian Preusche2, Uwe Klingauf3– 1,2,3 Institute of Flight Systems and Automatic Control, Technische Universität Darmstadt, Darmstadt, Hessen, 64287, Germany |
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| Experimental Approach for Estimating Mesh Stiffness in Faulty States of Rotating Gear Jungho Park1, Jong moon Ha2, Hyunseok Oh3, Byeng D. Youn4, Sungho Park5, Joo-Ho Choi6– 1,2,3,4 Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-919, Republic of Korea 5,6 Department of Aerospace & Mechanical Engineering, Korea Aerospace University, GoyangCity, Gyeonggido, 412-791 |
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| 8:30–10:00 | Session 7C: Structural Health Management Session Chair: Elaheh Rabiei–University of Maryland |
Coronado 7 |
| Advances in Ultrasonic Imaging for Internal Flaws in Structures Thompson Vu Nguyen1, Simone Sternini2, Francesco Lanza di Scalea3– 1,2 PhD Candidate, Department of Structural Engineering, La Jolla, California, 92093, USA 3 Professor, Department of Structural Engineering, La Jolla, California, 92093, USA |
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| Probabilistic Life Models for Steel Structures Subject to Creep-Fatigue Damage Fatmagul Ibisoglu1, Mohammad Modarres2– 1,2 University of Maryland, Center for Risk and Reliability, College Park, MD, USA |
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| Processing and Interpretation of Crack-Propagation Sensors Nenad G. Nenadic1, Paul A. Ardis2, Adrian Hood3, Michael G. Thurston4, David G. Lewicki5– 1,4 Rochester Institute of Technolgy, Rochester, NY, 14526, USA 2 GE Global Research Center, 1 Research Circle, Niskayuna, NY, 12309 3 US Army Research Laboratory, 4603 Flare Loop, Aberdeen Proving Ground, MD 21085 5 NASA Glenn Research Cente, 21000 Brookpark Rd. – MS 23-3, Cleveland, OH 44135 |
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| 8:30–10:00 | Panel Session 4: Efficiencies from Prognostics in Commercial Aviation | Salon B |
| 8:30–10:00 | Job Fair | Coronado 6 |
| 10:00–10:30 | Networking Break | Ballroom Foyer |
| 10:30–12:00 | Session 8A: Fault Detection Methods Session Chair: Matthew Carter–AMCOM Logistics Center |
Salon A |
| Improved Fault Detection by Appropriate Control of Signal Bandwidth of the TSA Eric Bechhoefer1, Xinghui Zhang2– 1 GPMS Inc., President, Cornwall, VT, 05753, USA 2 Mechanical Engineering College, Shijiazhuang, 050003, China |
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| Abort Trigger False Positive and False Negative Analysis Methodology for Threshold-based Abort Detection Kevin J. Melcher1, José A. Cruz2, Stephen B. Johnson3, Yunnhon Lo4– 1,2 NASA Glenn Research Center, Cleveland, OH, 44135, U.S.A 3 Jacobs ESSSA Group / Dependable System Technologies, LLC, Larkspur, CO, 80118, U.S.A 4 Jacobs ESSSA Group / Ducommun Miltec, Huntsville, AL, 35806, U.S.A |
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| Analyzing high-dimensional thresholds for fault detection and diagnosis using active learning and Bayesian statistical modeling Yuning He1– 1 UARC, NASA Ames Research Center, Moffett Field, CA, 94040, USA |
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| 10:30–12:00 | Session 8B: Diagnostics Applications I Session Chair: Carl Byington–Impact Technologies |
Coronado 2 and 3 |
| Model-based Reasoning Approach for Automated Failure Analysis: An Industrial Gas Turbine Application Gulnar Mehdi1, Davood Naderi2, Giuseppe Ceschini3, Mikhail Roshchin4– 1,4 Siemens AG, 81739, Germany 2 Siemens Industrial Turbomachinery AB, 61241, Sweden 3 Siemens AG, 90001, Germany |
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| Vibration-based Fault Diagnostics of Planetary Gearbox Using Time Synchronous Averaging with Multiple Window Functions Jong M. Ha1, Jungho Park2, Hyunseok Oh3, Byeng D. Youn4– 1,2,3,4 Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-919, Korea |
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| A New Generic Approach to Convert FMEA in Causal Trees for the Purpose of Hydro-Generator Rotor Failure Mechanisms Identification Olivier Blancke1, Normand Amyot2, Claude Hudon3, Mélanie Lévesque4, Antoine Tahan5– 1,5 École de technologie supérieure, Montréal, Québec, QC H3C 1K3, Canada 2,3,4 Institut de recherche d’Hydro-Québec, Varennes, Québec, J3X 1S1, Canada |
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| 10:30–12:00 | Session 8C: Industrial PHM I Session Chair: Jamie Coble–University of Tennessee |
Coronado 7 |
| Linear Temporal Logic (LTL) Based Monitoring of Smart Manufacturing Systems Gerald Heddy1, Umer Huzaifa2, Peter Beling3, Yacov Haimes4, Jeremy Marvel5, Brian Weiss6, Amy LaViers7– 1,2,3,4,7 University of Virginia, Charlottesville, VA, 22904, USA 5,6 National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA |
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| Improved Visual Inspection of Advanced Gas-Cooled Reactor Fuel Channels Graeme West1, Paul Murray2, Stephen Marshall3, Stephen McArthur4– 1,2,3,4 Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow |
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| Model-based Approach to Automated Calculation of Key Performance Indicators for Industrial Turbines Gulnar Mehdi1, Davood Naderi2, Giuseppe Ceschini3, Alexey Fishkin4, Sebastian Brandt5, Stuart Watson6, Mikhail Roshchin7– 1,4,5,7 Siemens AG, 81739, Germany 2 Siemens Industrial Turbomachinery AB, 61241, Sweden 3 Siemens AG, 90001, Germany 6 Siemens AG, LN63AD, United Kingdom |
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| 10:30–12:00 | Panel Session 5: Wind Energy | Salon B |
| 10:30–12:00 | Data Challenge Results | Tidelands Ballroom |
| 10:30–12:00 | Job Fair | Coronado 6 |
| 12:00–13:30 | Lunch on your own | |
| 13:30–15:00 | Session 9A: Nuclear PHM Session Chair: Abbas Chokor–Arizona State University |
Salon A |
| A Review of Prognostics and Health Management Applications in Nuclear Power Plants Jamie Coble1, Pradeep Ramuhalli2, Leonard Bond3, J. Wesley Hines4, Belle Upadhyaya5– 1,4,5 University of Tennessee, Knoxville, TN, USA 3 Pacific Northwest National Laboratory, Richland, WA, USA 3 Iowa State University, Ames, IA, USA |
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| Prognostic and Health Management of Active Assets in Nuclear Power Plants Vivek Agarwal1, Nancy Lybeck2, Binh T. Pham3, Richard Rusaw4, Randall Bickford5– 1,2,3 Idaho National Laboratory, Idaho Falls, ID, USA 4 Electric Power Research Institute, Charlotte, NC, USA 5Expert Microsystems, Orangevale, CA, USA |
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| Early Concepts for the Coupling of a Nuclear Plant Computer to a Computerized Maintenance Management System for Autonomous Prognostic Model Development Zachary Welz1, J. Wesley Hines2, Belle R. Upadhyaya3– 1,2,3 Department of Nuclear Engineering, University of Tennessee, Knoxville, TN 37996, USA |
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| 13:30–15:00 | Session 9B: Diagnostics Applications II Session Chair: David Larson–UTC Aerospace Systems |
Coronado 2 and 3 |
| Sparse Coding-Based Failure Prediction for Prudent Operation of LED Manufacturing Equipment Jia-Min Ren1, Chuang-Hua Chueh2, H. T. Kung3– 1,2 Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan 3 Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge MA, USA |
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| Direct analysis of non-quadratic phase coupling for detection of linearly modulated signals Fidel Hernández1, Aitzol Iturrospe2– 1,2 University of Mondragon, Mondragon, Guipuzcoa, 20500, Spain |
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| Testing Diagnostics Components Supervising Functional Safety Requirements Mihai Nica1, Ingo Pill2, Franz Wotawa3– 1 AVL GmbH, 8020 Graz, Austria 2,3 Institute for Software Technology, TU Graz, Inffeldgasse 16b, 8010 Graz, Austria |
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| 13:30–15:00 | Session 9C: Industrial PHM II Session Chair: Jeff Bird–TECnos |
Coronado 7 |
| Speed Estimation in Geared Wind Turbines Using the Maximum Correlation Coefficient Georgios Alexandros Skrimpas1, Kun S. Marhadi2, Bogi Bech Jensen3, Christian Walsted Sweeney4, Nenad Mijatovic5, Joachim Holboell6– 1,2,4 Brüel and Kjœr Vibro, Nœrum, 2850, Denmark 3 University of the Faroe Islands, Tórshavn, 100, Faroe Islands 5,6 Technical University of Denmark, Lyngby, 2800, Denmark |
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| AI Based On-Board Diagnostic and Prognostic Health Management System Pallanti Srinivasa Rao1, Sreeram Mohan2, Venkateshwar Chindam3– 1,2,3 Tata Consultancy Services, Bengaluru, Karnataka, 560066, INDIA |
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| Sliding Wear Particle Mass Distribution Assessment for Wear Mode Diagnosis Surapol Raadnui1– 1 Department of Production Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok (KMUTNB), 1518, Pracharaj 1 Road, Bang-Sue, District, Bangkok, Postal Code 10800, Bangkok, Thailand, Email address: |
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| 13:30–15:00 | Panel Session 6: Oil and Gas Prognostics | Salon B |
| 13:30–15:00 | Job Fair | Coronado 6 |
| 15:00–15:30 | Final Remarks and Conference Closing | Salon C and D |