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Agenda – Overview

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Monday, October 14, 2013 — Doctoral Consortium and Panel Sessions
Tuesday, October 15, 2013 — Lumminaries Sessions, Technical Paper Sessions, Poster Session, Tutorials, Workshops and Technology Demonstrations
Wednesday, October 16, 2013 — Technical Paper Sessions, Tutorials, Workshops and Technology Demonstrations
Thursday, October 17, 2013 — Technical Paper Sessions, Tutorials, Panel Sessions and Technology Demonstrations

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Monday, October 14, 2013		Location
7:00AM–5:00PM	Conference Registration Open	Magnolia
7:00AM–10:00AM	Doctoral Consortium Session 1 Nils Propes – Global Technology Connection, Inc. Marcos Orchard – University of Chile	Julia
10:00AM–10:30AM	Networking Break	Julia
10:30AM–12:00PM	Doctoral Consortium Session 2 Nils Propes – Global Technology Connection, Inc. Marcos Orchard – University of Chile	Julia
12:00PM–1:00PM	Lunch Break (On Your Own)
1:00 PM–1:30PM	Conference Commencement	Blaine Kern
1:30PM–3:00PM	Doctoral Consortium Session 3 Nils Propes – Global Technology Connection, Inc. Marcos Orchard – University of Chile	Julia
1:30PM–3:00PM	Panel Session 1 – Big Data Analytics and Enterprise Andy Hess – Hess PHM Group Ravi Rajamani – Meggitt USA	River Bend 1 & 2
3:00PM–3:30PM	Networking Break	Blaine Kern
3:30PM–5:00PM	Doctoral Consortium Session 4 Nils Propes – Global Technology Connection, Inc. Marcos Orchard – University of Chile	Julia
3:30PM–5:00PM	Panel Session 2 – Aerospace and Mobility Steven King, Chris Young and Chris Hickenbottom	River Bend 1 & 2
5:00PM–7:00PM	Cocktail Reception	Blaine Kern
Tuesday, October 15, 2013		Location
7:00AM–5:00PM	Conference Registration Open	Magnolia
7:00AM–8:00AM	Breakfast	Blaine Kern
8:00AM–8:30AM	Opening Remarks	Blaine Kern
8:30AM–9:40AM	Luminaries Dr. Wolfgang Fink, Associate Professor, University of Arizona – Tucson Dr. Leo Christodoulou, Director, Structures Domain Leader, Enterprise Technology Strategy, Office of the CTO, The Boeing Company	Blaine Kern
9:45AM–10:00AM	Networking Break	Blaine Kern
10:00AM–11:30AM	Luminaries Henry Margusity, Senior Meteorologist, AccuWeather.com Luminary Panel Q&A	Blain Kern
12:00PM–1:30PM	Symposium Lunch and Keynote Speech	Blaine Kern
1:30PM–5:00M	Technology Demonstration	Creole Queen/ Natchez
1:30PM–3:00PM	Technical Paper Session 1A: Uncertainty in PHM Prof. Marcos Orchard–Universidad de Chile	Julia
	Why is the Remaining Useful Life Prediction Uncertain? Shankar Sankararaman1, Kai Goebel2– 1 SGT Inc., NASA Ames Research Center, Moffett Field, USA 2 NASA Ames Research Center, Moffett Field, USA
	Distribution Free Prediction Interval for Uncertainty Quantification in Remaining Useful Life Prediction Huimin Chen1– 1University of New Orleans, USA
	A Novel Computational Methodology for Uncertainty Quantification in Prognostics Using The Most Probable Point Concept Shankar Sankararaman1, Kai Goebel2– 1 SGT Inc., NASA Ames Research Center, USA 2 NASA Ames Research Center, USA
1:30PM–3:00PM	Technical Paper Session 1B: PHM System Design and Engineering Dr. Dustin Garvey–GE Global Research	New Leveé
	Prognostic Algorithm Verification N. Scott Clements1, David S. Bodden2– 1,2Lockheed Martin Aeronautics Company, USA
	PHM for Astronauts – A New Application Alexandre Popov1, Wolfgang Fink2, Andrew Hess3– 1 Canadian Space Agency, Canada 2 California Institute of Technology, USA 3 The Hess PHM Group, USA
	Rotor Track and Balance Improvements Eric Bechhoefer1, Austin Fang2, Ephrahim Garcia3– 1Green Power Monitoring Systems, USA 2Cornell University, Ithaca, USA
1:30PM–3:00PM	Technical Paper Session 1C: Prognostics Methods I Dr. Kai Goebel and Dr. Abhinav Saxena–NASA Ames Research Center and NASA Ames Research Center (SGT Inc.)	Fulton
	Dynamic Bayesian Networks for Prognosis Gregory Bartram1, Sankaran Mahadevan2– 1,2 Vanderbilt University, USA
	Health Monitoring and Prognosis of Hybrid Systems Said Zabi1, Pauline Ribot2, Elodie Chanthery3– 1,2CNRS, LAAS, France; Univ de Toulouse, France 3CNRS, LAAS, France; Univ de Toulouse, France
	A Modeling Framework for Prognostic Decision Making and its Application to UAV Mission Planning Edward Balaban1, Juan J. Alonso2– 1NASA Ames Research Center, USA 2 Stanford University, USA
1:30PM–3:00PM	Tutorial Session 1 – Data Mining Dr. Nikunj Oza, Leader Data Sciences Group, NASA Ames Research Center	River Bend 2
1:30PM–3:00PM	Wind Workshop Session 1 : PHM in the Mitigation of Financial Risk Moderator :Eric Bechhoefer	River Bend 1
3:00PM–3:30PM	Networking Break	Blaine Kern
3:30PM–5:00PM	Technical Paper Session 2A: PHM in Maintenance Logistics George Vachtsevanos–Georgia Institute of Technology	Julia
	Maintenance Planning Optimization Based on PHM Information and Spare Parts Availability Leonardo R. Rodrigues1, Takashi Yoneyama2– 1Embraer S.A., Brazil 2Instituto Tecnologico de Aeronautica, Brazil
	Accommodating Repair Actions into Gas Turbine Prognostics Zakwan Skaf1, Martha A. Zaidan2, Robert F. Harrison3, Andrew R. Mills4– 1,2,3,4The University of Sheffield, UK
	System Level RUL Estimation for Multiple-Component Systems Joao P. P. Gomes1, Leonardo R. Rodrigues2, Roberto K. H. Galvao3, Takashi Yoneyama4– 1,2 EMBRAER S.A., Brazil 3,4Instituto Tecnologico de Aeronautica, Brazil
3:30PM–5:00PM	Technical Paper Session 2B: Analytical PHM Methods Dr. Weizhong Yan–GE Global Research	New Leveé
	A Stochastic Modeling Approach of Quantized Systems with Application to Fault Detection and Isolation of an Automotive Electrical Power Generation Storage System Sara Mohon1, Pierluigi Pisu2– 1,2Clemson University International Center for Automotive Research, USA
	I/P Transducer Application of Model-BasedWear Detection and Estimation using Steady State Conditions Christopher Teubert1, Matthew Daigle2– 1 SGT, Inc. NASA Ames Research Center, USA 2 NASA Ames Research Center, USA
	Fault Detection and Isolation for Autonomous Parafoils Matthew R. Stoeckle1, Amer Fejzic2, Louis S. Breger3, Jonathan P. How4– 1,4 Massachusetts Institute of Technology, USA 2,3 Draper Laboratory, USA
3:30PM–5:00PM	Technical Paper Session 2C: Prognostics Methods II Vincent Chérière–Airbus	Fulton
	Advanced Methods for Determining Prediction Uncertainty in Model-Based Prognostics with Application to Planetary Rovers Matthew Daigle1, Shankar Sankararaman2– 1NASA Ames Research Center, USA 2 SGT, Inc., NASA Ames Research Center, USA
	Degredation Modeling and Remaining Useful Life Prediction of Electrolytic Capacitors under Thermal Overstress Condition Using Particle Filters Hamed Khorasgani1, Chetan Kulkarni2, Gautam Biswas3, Jose R. Celaya4, Kai Goebel5– 1,3 Vanderbilt University, SA 2,4 SGT Inc. NASA Ames Research Center, USA 5 NASA Ames Research Center, USA
	A Model-Based Approach for Predicting the Remaining Driving Range in Electric Vehicles Javier A. Oliva1, Christoph Weihrauch2, Torsten Bertram3– 1,2,3Technische Universitat Dortmund, Germany
3:30PM–5:00PM	Tutorial Session 2 – Diagnostics Dr. Doug Brown, Sr. Systems Engineer, Analatom, Inc	River Bend 2
3:30PM–5:00PM	Wind Workshop Session 2 : PHM of Oil – in support of Operations & Maintenance Moderator : David He	River Bend 1
5:00PM–7:30PM	Cocktail Receiption and Live Poster Presentations	Blaine Kern
Wednesday, October 16, 2013		Location
7:00AM–5:00PM	Conference Registration Open	Magnolia
7:00AM–8:00AM	Breakfast	Blaine Kern
8:00AM–8:30AM	Opening Remarks	Blaine Kern
8:00AM–5:00M	Technology Demonstration	Creole Queen / Natchez
8:30AM–10:00AM	Technical Paper Session 3A: Model-based Diagnosis I Prof. Anibal Bregon–Universidad de Valladolid, Spain	Julia
	Improving the Diagnostic Performance for Dynamic Systems through the use of Conflict-Driven Model Decomposition Anibal Bregon1, Alexander Feldman2, Belarmino Pulido3, Gregory Provan4, Carlos Alonso-Gonzalez5– 1,3,5 Universidad de Valladolid, Spain 2,4 University College Cork, Ireland
	Efficient Generation of Minimal Dynamic Bayesian Networks for Hybrid Systems Fault Diagnosis using Hybrid Possible Conflicts Belarmino Pulido1, Noemi Moya2, Carlos Alonso-Gonzalez3, Anibal Bregon4– 1,2,3,4 Universidad de Valladolid, Spain
	A Framework to Debug Diagnostic Matrices Anuradha Kodali1, Peter Robinson2, Ann Patterson-Hine3– 1 SGT Inc., NASA Ames Research Center, USA 2,3 NASA Ames Research Center, Moffett Field, USA
8:30AM–10:00AM	Technical Paper Session 3B: PHM Applications I Dr. Michael J. Roemer–Impact Technologies, A Sikorsky Innovations Company	New Leveé
	Wireless Power and Data System for Integrated System Health Management of Systems Operating in the Harsh Environment of Deep Space Jim Miller1, Jon Patterson2, Ray Garbos3– 1,2NASA Marshall Space Flight Center, USA 3AMI Research and Development, LLC., USA
	A New Prognostic Approach for Hydro-Generators Stator Windings Normand Amyot1, Claude Hudon2, Melanie Levesque3, Mario Belec4, France Brabant5, Francois-Xavier Frenette6– 1,2,3,4,5,6Institut de recherche d’Hydro-Québec (IREQ), Canada
	Determination of Primary Chemical Constituents of PBX (AF)-108 Warhead Explosive Using microPHAZIR NIR Handheld Platform Sami Daoud1, Michael J. Villeburn2, Kevin D. Bailey3, Gordon Kinloch4, Lydia Biegert5, Craig Gardner6– 1,2,3 Raytheon Missile Systems, USA 4 United Kingdom Ministry of Defense, UK 5 Alliant Techsystems Launch Systems, USA 6 Thermo Fisher Scientific, USA
8:30AM–10:00AM	Technical Paper Session 3C: Data-driven Methods for PHM Dr. Neil Eklund–GE Global Research	Fulton
	Wear Prognostic on Turbofan Engines Jerome Lacaille1, Aurelie Gouby2, Olivier Piol3– 1,2,3Snecma, France
	Electronic Returnless Fuel System Fault Diagnosis and Isolation: A Data-Driven Approach Bharath Pattipati1, Krishna Pattipati2, Youssef A. Ghoneim3, Mark Howell4, Mutasim Salman5– 1,2University of Connecticut , U.S.A 3,4,5 GM Global R&D Center, U.S.A
	Fleet-wide Diagnostic and Prognostic Assessment Alexandre Voisin1, Gabriela Medina-Oliva2, Maxime Monnin3, Jean-Baptiste Leger4, Benoit Iung5– 1,5Universite de Lorraine, France 2,3,4 PREDICT 19, France
8:30AM–10:00AM	Tutorial Session 3 – Bayesian Filtering for Failure Prognosis Dr. Bruno Paes Leao, GE	River Bend 2
8:30AM–10:00AM	Wind Workshop Session 3 : PHM Solution Developers Moderator : Dr. Shawn Sheng	River Bend 1
10:00AM–10:30AM	Networking Break
10:30AM–12:00PM	Technical Paper Session 4A: Model-based Diagnosis II Dr. Matthew Daigle and Prof. Anibal Bregon–NASA Ames Research Center and Universidad de Valladolid, Spain	Julia
	A Particle Filtering-based Framework for Real-time Fault Diagnosis of Autonomous Vehicles Ioannis A. Raptis1, Christopher Sconyers2, Rodney Martin3, Robert Mah4, Nikunj Oza5, Dimitris Mavris6, George Vachtsevanos7– 1University of Massachussetts Lowell, USA 2,6,7Georgia Institute of Technology, USA 3,4,5NASA Ames Research Center, USA
	An Efficient Model-based Diagnosis Engine for Hybrid Systems using Structural Model Decomposition Anibal Bregon1, Sriram Narasimhan2, Indranil Roychoudhury3, Matthew Daigle4, Belarmino Pulido5– 1,5 University of Valladolid, Spain 2 Univ. of California Santa Cruz, NASA Ames Research Center, USA 3 SGT Inc., NASA Ames Research Center, USA 4 NASA Ames Research Center, USA
	Towards Real-Time, On-Board, Hardware-Supported Sensor and Software Health Management for Unmanned Aerial Systems Johann Schumann1, Kristin Y. Rozier2, Thomas Reinbacher3, Ole J. Mengshoel4, Timmy Mbaya5, Corey Ippolito6– 1 SGT, Inc., NASA Ames Research Center, USA 2,6 NASA Ames Research Center, USA 3 Vienna University of Technology, Austria 4 Carnegie Mellon University, USA 5 University of Southern California, USA
10:30AM–12:00PM	Technical Paper Session 4B: PHM Applications II Dr. Ash Thakker–Global Technology Connection	New Leveé
	Anomaly Detection in Gas Turbine Compressor of a Power Generation Plant using Similarity-based Modeling and Multivariate Analysis Tomas Carricajo1, Felipe Kripper2, Marcos E. Orchard3, Luis Yacher4, Rodrigo Paredes5– 1,2,4 CONTAC Ingenieros Ltda., Chile 3 Universidad de Chile, Chile 5 Endesa Chile, Chile
	On Optimizing Anomaly Detection Rules for Gas Turbine Health Monitoring Weizhong Yan1, Lijie Yu2, Jim Sherbahn3, Umang Brahmakshatriya4– 1,4 General Electric Global Research Center, USA 2,3 General Electric Power and Water Engineering, USA
	Uncertainty in Impact Identification Applied to a Commercial Wind Turbine Blade Raymond M. Bond1, Douglas E. Adams2– 1,2 Purdue University, USA
10:30AM–12:00PM	Technical Paper Session 4C: Energy Generation and Storage Applications Dr. Jeff Bird–Magma	Fulton
	Electrochemistry-based Battery Modeling for Prognostics Matthew Daigle1, Chetan Kulkarni2– 1NASA Ames Research Center, USA 2 SGT, Inc., NASA Ames Research Center, USA
	State of Charge Estimation of Lithium-ion Batteries Considering Model and Parameter Uncertainties Zhimin Xi1, Rong Jing2, Xiao G. Yang3, Ed Decker4– 1,2 University of Michigan – Dearborn, USA 3,4 Ford Motor Company, USA
	Sequential Monte Carlo methods for Discharge Time Prognosis in Lithium-Ion Batteries Marcos E. Orchard1, Matias A. Cerda2, Benjamin E Olivares3, Jorge F. Silva4– 1,2,3,4 Universidad de Chile, Chile
10:30AM–12:00PM	Tutorial Session 4 – Electronics PHM Dr. Jose Celaya, Research Scientist, SGT Inc., NASA Ames Research Center	River Bend 2
10:30AM–12:00PM	Wind Workshop Session 4 : PHM for Wind Energy: Lowering the Cost of Projects Moderator : Bruce Hamilton	River Bend 1
12:00PM–1:30PM	Lunch Break (On Your Own)
1:30PM–3:00PM	Technical Paper Session 5A: Verification and Validation Dr. Ravi Rajamani–Meggitt	Julia
	Distilling the Verication Process for Prognostics Algorithms Indranil Roychoudhury1, Abhinav Saxena2, Jose R. Celaya3, Kai Goebel4– 1 SGT, Inc., NASA Ames Research Center, USA 2 NASA Ames Research Center, USA
	Performance Metrics in the Perspective of Prognosis Uncertainty Bruno P. Leao1, Takashi Yoneyama2– 1 GE Global Research – Brazil Technology Center, Brazil 2 Instituto Tecnologico de Aeronautica, Brazil
	Simple Metrics for Evaluating and Conveying Prognostic Model Performance To Users With Varied Backgrounds Michael E. Sharp1– 1 University of Tennessee, USA
1:30PM–3:00PM	Technical Paper Session 5B: PHM Applications III Prof. Bin Zhang–University of South Carolina	New Leveé
	Remaining useful tool life predictions in turning using Bayesian inference Jaydeep M. Karandikar1, Ali Abbas2, Tony L. Schmitz3– 1,3 University of North Carolina at Charlotte, USA 2 University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
	Lubricants Health Monitoring Giovanni Jacazio1, Marco Libraro2, Andrea Mornacchi3, Massimo Sorli4– 1,2,3,4 Politecnico di Torino, Italy
	Battery Charge Depletion Prediction on an Electric Aircraft Quach C. Chi1, Brian Bole2, Edward Hogge3, Sixto Vasquez4, Matthew Daigle5, Jose R. Celaya6, Adam Weber7, Kai Goebel8– 1,4,7 NASA Langley Research Center, USA 2Georgia Institute of Technology, USA 3 Northrup Grumman Engineering Services, USA 5,8 NASA Ames Research Center, USA 6 SGT, Inc., NASA Ames Research Center, USA
1:30PM–3:00PM	Technical Paper Session 5C: Hardware and Software Testbeds Patrick W. Kalgren –Impact Technologies, A Sikorsky Innovations Company	Fulton
	A Cryogenic Fluid System Simulation in Support of Integrated Systems Health Management John P. Barber1, Kyle B. Johnston2, Matthew Daigle3– 1 SGT, Inc., Kennedy Space Center, USA 2ENSCO, Inc., ASE, Kennedy Space Center, USA 3 NASA Ames Research Center, USA
	Practical Use of Accelerated Test Data for the Prognostics Methods Dawn An1, Joo-Ho Choi2, Nam H. Kim3– 1 Korea Aerospace University, South Korea; University of Florida, USA 2 Korea Aerospace University, South Korea 3 University of Florida, USA
	SIL/HIL Replication of Electric Aircraft Powertrain Dynamics and Inner-Loop Control for V&V of System Health Management Routines Brian Bole1, Christopher Teubert2, Quach C. Chi3, Edward Hogge4, Sixto Vasquez5, Kai Goebel6, George Vachtsevanos7– 1,7Georgia Institute of Technology, Atlanta, USA 2 SGT, Inc., NASA Ames Research Center, USA 3,4,5 NASA Langley Research Center, USA 6 NASA Ames Research Center, USA
1:30PM–3:00PM	Panel Session 3 – Nuclear Energy Applications Prof. Wesley Hines	River Bend 2
1:30PM–3:00PM	Wind Workshop Session 5 : Technical Paper Presentations I Moderator : Tugan Eritenel	River Bend 1
3:00PM–3:30PM	Networking Break
3:30PM–5:00PM	Data Challenge Results Top 3 Presentations	Julia
3:30PM–5:00PM	Panel Session 4 – Heavy Machinery, Oil & Gas, and Mining Dinkar Mylaraswamy and Neil Eklund	Rver Bend 2
3:30PM–5:00PM	Wind Workshop Session 6 : Technical Paper Presentations II Moderator : Eric Becchoefer	River Bend 1
6:30PM–10:00PM	Social Hour and Banquet Dinner	WW II Museum
Thursday, October 17, 2013		Location
7:00AM–5:00PM	Conference Registration Open	Magnolia
7:00AM–8:00AM	Breakfast	Blaine Kern
8:00AM–8:30AM	Opening Remarks	Blaine Kern
8:00AM–12:00PM	Technology Demonstration	Creole Queen / Natchez
8:30AM–10:00AM	Technical Paper Session 6A: PHM Nuclear Applications I Prof. Wesley Hines–The University of Tennessee	Julia
	Development of Virtual Sensor Networks to Support Accident Monitoring System Rizwan Ahmed1, Pak Sukyoung2, Gyungyoung Heo3, Jung-Taek Kim4, Seop Hur5, Soo Y. Park6, Kwang-Il Ahn7– 1,2,3Kyung Hee University, South Korea 4,5,6,7Korea Atomic Energy Research Institute, South Korea
	Prognostics Health Management for Advanced Small Modular Reactor Passive Components Ryan M. Meyer1, Pradeep Ramuhalli2, Jamie B. Coble3, Mark R. Mitchell4, David W. Wootan5, Evelyn H. Hirt6, Eric J. Berglin7, Leonard J. Bond8, Chuck H. Henager Jr9– 1,2,4,5,6,7,9 Pacific Northwest National Laboratory, USA 3 University of Tennessee, USA 8Iowa State University, USA
	Online Monitoring of Plant Assets in the Nuclear Industry Vivek Agarwal1, Nancy Lybeck2, Binh T. Pham3, Richard Rusaw4, Randall Bickford5– 1 Idaho National Laboratory, USA 2 Electric Power Research Institute, USA 3 Expert Microsystems, USA
8:30AM–10:00AM	Technical Paper Session 6B: Fault Detection Methods I Dr. Karl Reichard–The Pennsylvania State University	New Leveé
	Ensemble Classifiers for Drift Detection and Monitoring in Dynamical Environments Imen Khamassi1, Moamar Sayed-Mouchaweh2, Moez Hammani3, Khaled Ghedira4– 1,3,4 University of Tunis, Tunis 2 Univ Lille Nord de France, France
	A Method for Anomaly Detection for Non-Stationary Vibration Signatures Renata Klein1– 1R.K. Diagnostics, Israel
	Multivariate Fault Detection using Vector Autoregressive Moving Average and Orthogonal Transformation in Residual Space Francisco Serdio1, Edwin Lughofer2, Kurt Pichler3, Thomas Buchegger4, Markus Pichler5, Hajrudin Efendic6– 1,2,6 Johannes Kepler University Linz, Austria 3,4,5 Austrian Competence Center of Mechatronics, Austria
8:30AM–10:00AM	Technical Paper Session 6C: Structural Health Management I Prof. Yongming Liu and Prof. Sankaran Mahadevan–Arizona State University and Vanderbilt University	Fulton
	Probabilistic Delamination Diagnosis of Composite Materials Using a Novel Bayesian Imaging Method Tishun Peng1, Abhinav Saxena2, Kai Goebel3, Shankar Sankararaman4, Yibing Xiang5, Yongming Liu6– 1,5,6 Arizona State University, Tempe, USA 2,4 SGT,NASA Ames Research Center, USA 3 NASA Ames Research Center, USA
	An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites Juan Chiachio1, Manuel Chiachio2, Abhinav Saxena3, Guillermo Rus4, Kai Goebel5– 1,2 University of Granada, Spain; SGT Inc., NASA Ames Research Center, USA 3 SGT Inc., NASA Ames Research Center, USA 4 University of Granada, Spain 5 NASA Ames Research Center, USA
	Integrated Sensor Arrays Based on PiezoPaint Technology for SHM Applications Karl Elkjaer1, Konstantin Astafiev2, Erling Ringgard3, Tomasz Zawada4– 1,2,3,4 Meggitt A/S, Denmark
8:30AM–10:00AM	Tutorial Session 5 – Making the (Business) Case for PHM Joel Luna, Senior Operations Research Analyst , Frontier Technology, Inc.	River Bend 2
8:30AM–10:00AM	Panel Session 5 : PHM Standards Moderators : Jeff Bird and Ginger Shao	River Bend 1
10:00AM–10:30AM	Networking Break	Blaine Kern
10:30AM–12:00PM	Technical Paper Session 7A: PHM Nuclear Applications II Prof. Wesley Hines–The University of Tennessee	Julia
	Fault Monitoring Techniques for Nuclear Components Gee-Yong Park1, Jung T. Kim2– 1,2Korea Atomic Energy Research Institute, South Korea
	Towards an Online Prognostic System for Predicting the Axial Shrinkage of AGR Cores Graeme M. West1, Christopher J. Wallace2, Stephen D. J. McArthur3– 1,2,3University of Strathclyde, UK
	Heat Exchanger Fouling and Estimation of Remaining Useful Life Tutpol Ardsomang1, Wesley J. Hines2, Belle R. Upadhyaya3– 1,2,3 University of Tennessee, USA
10:30AM–12:00PM	Technical Paper Session 7B: Fault Detection Methods II Dr. Dinkar Mylaraswamy–Honeywell	New Leveé
	Processing for Improved Spectral Analysis Eric Bechhoefer1, Brandon Van Hecke2, David He3– 1Green Power Monitoring Systems, USA 2,3The University of Illinois at Chicago, USA
	Novelty Detection in Airport Baggage Conveyor Gear-Motors Using Synchro-Squeezing Transform and Self-Organizing Maps Budhaditya Hazra1, Shilpa Pantula2, Sriram Narasimhan3– 1,2,3University of Waterloo, Canada
	Modeling Localized Bearing Faults Using Inverse Gaussian Mixtures Pavle Boskoski1, Dani Juricic2– 1,2Jozef Stefan Institute, Slovenia
10:30AM–12:00PM	Technical Paper Session 7C: Structural Health Management II Dr. Abhinav Saxena–NASA Ames Research Center (SGT Inc.)	Fulton
	Physics based Prognostics for LCF Crack Nucleation Life of IMI 685 Aerospace Compressor Disc Avisekh Banerjee1, Jun Zhao2, Ashok K. Koul3, Amar Kumar4, Alka Srivastava5, Nita Goel6– 1,2,3Life Prediction Technologies Inc., Canada 4,5,6 Tecsis Corporation, Canada
	Detection of CH-53 Swashplate Bearing Deformation – From a 3D Dynamic Model to Diagnostics Mor Battat1, Gideon Kogan2, Alex Kushnirsky3, Renata Klein4, Jacob Bortman5– 1,2,3,5Ben-Gurion University of the Negev, Israel 4 R.K. Diagnostics, Israel
	Wavlet Decomposition based Diagnostic for Structural Health Monitoring on Metallic Aircrafts: Case of Crack Triangulation and Corrosion Detection Hamza Boukabache1, Christophe Escriba2, Sabeha Zedek3, Jean-Yves Fourniols4– 1, 2, 4 CNRS, LAAS, France 3Université de Toulouse, France
10:30AM–12:00PM	Panel Session 6 : PHM Education and Professional Development Moderators : Karl Reichard, Jeff Bird and Nancy Madge	River Bend 1
12:00PM–12:30PM	Final Remarks	Blaine Kern

Last modified: 12-Oct-2013 16:18:49