| Paper Title (Oral Presentation) |
Authors |
Affiliation |
Session |
| Diagnosis and Fault-Adaptive Control for Mechatronic Systems using Hybrid Constraint Automata |
Maier, Sachenbacher |
Technische Universität München (Germany) |
Adaptive Control and Reconfiguration |
| Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators |
Brown, Georgoulas, Bole, Pei, Orchard, Tang, Saha, Saxena, Goebel, Vachtsevanos |
Georgia Tech / University of Chile (Chile) / Impact Technnologies / MCT / SGT / NASA Ames |
Adaptive Control and Reconfiguration |
| A novel Bayesian Least Squares Support Vector Machine based Anomaly Detector for Fault Diagnosis |
Khawaja, Vachtsevanos |
Georgia Tech |
Anomaly Detection |
| A Systematic PHM Approach for Anomaly Resolution: A Hybrid Neural Fuzzy System for Model Construction |
Bonissone, Hu, Subbu |
GE |
Anomaly Detection |
| Signal Stream Clustering for Tool-Rotation-Level Tool Condition Monitoring in Milling Process |
Phua, Li, Ng, Lim, Zhong, Zhou |
SIMTech (Singapore) / Nanyang Technology University (Singapore) |
Anomaly Detection |
| Estimation of Life Consumption for Advanced Drilling Tools |
Garvey, John, Baumann |
Baker Hughes |
Damage Estimation |
| New Processing to Detect and Track Damage in an Aerospace Wing Attachment Fitting |
Parker, Frazier |
Miltec |
Damage Estimation |
| A Review of Time Synchronous Average Algorithms |
Bechhoefer, Kingsley |
Goodrich / Sikorsky |
Data Processing |
| Application of Blind Source Separation Techniques for Generation of PHM Useful Information |
Leão, Gomes, Galvão, Yoneyama |
Embraer (Brasil) / Instituto Tecnológico de Aeronáutica (Brasil) |
Data Processing |
| Bearing Envelope Analysis Window Selection |
Bechhoefer, Menon |
Goodrich |
Data Processing |
| Data-Driven Roller Bearing Diagnosis Using Degree of Randomness and Laplace Test |
Ling, Khonsari, Hathaway |
Migma / Louisiana State / NASA Dryden |
Data-Driven Diagnostics |
| Investigation on Fault Detection for Split Torque Gearbox Using Acoustic Emission and Vibration Signals |
Li, He, Bechhoefer |
University of Chicago / Goodrich |
Data-Driven Diagnostics |
| Model Based Bearing Fault Detection Using Support Vector Machines |
Kappaganthu, Nataraj, Samanta |
Villanova University |
Data-Driven Diagnostics |
| Probabilistic Structural Health Monitoring Using Acoustic Emission |
Rabiei, Modarres, Hoffman |
University of Maryland |
Data-Driven Diagnostics |
| Situational Awareness and Decision-Making for Distressed Aircraft |
Lopez, Sarigul-Klijn |
UC Davis |
Decision-Making |
| A Multi-Fault Modeling Approach for Fault Diagnosis and Failure Prognosis of Engineering Systems |
Zhang, Sconyers, Patrick, Vachtsevanos |
Georgia Tech / Impact Technologies |
Diagnostic Methods |
| Computationally Efficient Tiered Inference for Multiple Fault Diagnosis |
Liu, Kuhn, de Kleer |
PARC |
Diagnostic Methods |
| Combination of Simulation and State Observers for Consistency-based Diagnosis |
Bregon, Pulido, Alonso-Gonzalez |
University of Valladolid (Spain) |
Diagnostics Methods |
| Efficient on-line parameter estimation in TRANSCEND for nonlinear systems |
Bregon, Pulido, Biswas |
University of Valladolid (Spain) / Vanderbilt University |
Diagnostics Methods |
| Fault diagnostic system based on approximate reasoning |
Boškoski, Musizza, Petrovcic, Juricic |
Institute Jožef Stefan, Ljubljana (Slovenia) |
Diagnostics Methods |
| Hierarchical Fault Diagnosis in Satellites Formation Flight |
Barua, Khorasani |
Concordia University |
Diagnostics Methods |
| Methods for Probabilistic Fault Diagnosis: An Electrical Power System Case Study |
Ricks, Mengshoel |
Univ of TX / NASA Ames |
Electrical Systems |
| Robust Differential Protection with Intermittent Cable Faults for Aircraft AC Generators |
Tantawy, Koutsoukos, Biswas |
Vanderbilt |
Electrical Systems |
| Analysis of Built-In Self-Tests for Electronic Control Units |
Przytula, Allen, Lu, Anderson, Wanner |
HRL Labs / Phoenix International (John Deere) |
Electronics Health Management |
| Effects of Lightning Injection on Power-MOSFETs |
Celaya, Saha, Wysocki, Goebel |
SGT / ASRC / MCT / NASA Ames |
Electronics Health Management |
| Computing Multiple Minimal Diagnoses |
Feldman, Provan, van Gemund |
Delft University of Technology (Netherlands) / University College Cork (Ireland) |
Model-Based Diagnostics |
| Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators |
Balaban, Saxena, Goebel, Byington, Watson, Bharadwaj, Smith |
NASA Ames / SGT / Impact Technologies |
Model-Based Diagnostics |
| Online Model-based Diagnosis for Multiple, Intermittent and Interaction Faults |
Kuhn, de Kleer, Liu |
PARC |
Model-Based Diagnostics |
| Integrated Design of On-line Health and Prognostics Management |
Walker, Kapadia |
General Atomics |
PHM System Design and Engineering |
| Towards StateCharts Based Failure Propagation Analysis for Designing Embedded PHM Systems |
Kramer, Tumer |
Oregon State University |
PHM System Design and Engineering |
| Model-Based Diagnostics and Prognostics for Solid Rocket Motors |
Luchinsky, Osipov, Smelyanskiy, Patterson-Hine, Hayashida, Watson, McMillin, Shook, Johnson, Hyde |
MCT / NASA Ames / NASA Marshall / ATK Thiokol |
Physics-of-Failure Modeling |
| Model-based Prognostics with Fixed-lag Particle Filters |
Daigle, Goebel |
UC Santa Cruz / NASA Ames |
Physics-of-Failure Modeling |
| Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework |
Saha, Goebel |
MCT / NASA Ames |
Physics-of-Failure Modeling |
| Physics-based Remaining Useful Life Prediction for Aircraft Engine Bearing Prognosis |
Bolander, Qiu, Eklund, Hindle, Rosenfeld |
Sentient / GE |
Physics-of-Failure Modeling |
| Prognosis of gear health using stochastic dynamical models with online parameter estimation |
Gasperin, Boskoski, Juricic |
Jozef Stefan Institute, Ljubljana (Slovenia) |
Physics-of-Failure Modeling |
| Exact Nonlinear Filtering and Prediction in Process Model-Based Prognostics |
DeCastro, Tang, Loparo, Goebel, Vachtsevanos |
Impact Technologies /Case Western Reserve University / NASA Ames / Georgia Tech |
Prognostics Methods |
| Failure Prognosis Using Timed Failure Propagation Graphs |
Abdelwahed, Karsai |
Mississippi State University / Vanderbilt University |
Prognostics Methods |
| A Prognostics and Health Management System for an Unmanned Combat Aircraft System – A Defense Acquisition University Case Study |
Di Lorenzo,. Bayer |
Defense Acquisition University Mid-West |
Return-on-investment Analysis |
| Cost-Benefit Analysis Trade-Space Tool as a Design-Aid for the U.S. Army Vehicle Health Management System (VHMS) Program |
Hines, Bennett, Ligetti, Banks, Nestler |
ARL-Penn State / US Military Academy (West Point) |
Return-on-investment Analysis |
| Metrics, Models, and Scenarios for Evaluating PHM Effects on Logistics Support |
Luna |
Frontier Technologies |
Return-on-investment Analysis |
| The Interaction of PSS and PHM – a mutual benefit case |
Grubic, Jennions, Baines |
Cranfield University (United Kingdom) |
Return-on-investment Analysis |
| Using Condition Based Maintenance to Improve the Profitability of Performance Based Logistic Contracts |
Reimann, Kacprzynski |
Impact Technologies |
Return-on-investment Analysis |
| Benchmarking Diagnostic Algorithms on an Electrical Power System Testbed |
Kurtoglu, Narasimhan, Poll, Garcia, Wright |
MCT / UARC / NASA / SGT / Vanderbilt University |
Standards and Methodologies |
| On Applying the Prognostics Performance Metrics |
Saxena, Celaya, Saha, Saha, Goebel |
NASA Ames |
Standards and Methodologies |
| A Cable-Free Digital Sensor-Bus for Structural Health Monitoring of Large Area Composite Structures |
Kessler, Dunn, Borgen, Raghavan, Duce, Banks |
metis / Boeing |
Structural Health Management |
| An Integrated Health Management and Prognostic Technology for Composite Airframe Structures |
Chang, Mueller, Roy, Mittal, Lonkar, Larrosa |
Stanford University |
Structural Health Management |
| Carbon Nanotube Coated Piezoelectric Ceramic for Self-Health-Monitoring |
Zhang, Lanzara, Chang |
Stanford University |
Structural Health Management |
| Entropy-based probabilistic fatigue damage prognosis and algorithmic performance comparison |
Guan, Liu, Saxena, Celaya, Goebel |
Clarkson University / SGT / NASA Ames |
Structural Health Management |
| Health Monitoring Assessment and Prognostic (HealthMAP) for Advanced Arresting Gear (AAG) System |
Kapadia, Gross, Walker, Venkatesh |
General Atomics |
System-Level Health Reasoning |
| Integrating Model-based Diagnosis and Prognosis in Autonomous Production |
Maier, Sachenbacher, Ruhr, Kuhn |
Technical University Munich (Germany) / PARC |
System-Level Health Reasoning |
| Power Management for A Distributed Wireless Health Management Architecture |
Saha, Saha, Goebel |
MCT / NASA Ames |
System-Level Health Reasoning |
| A Novel RSPF Approach to Prediction of High-Risk, Low-Probability Failure Events |
Orchard, Tang, Goebel, Vachtsevanos |
University of Chile (Chile) / NASA Ames / Impact Technologies / Georgia Tech” |
Uncertainty Management |
| Uncertainty Quantification in Fatigue Damange Prognosis |
Sankararaman, Ling, Shantz, Mahadevan |
Vanderbilt University |
Uncertainty Management |
| APU FMEA Validation Using Operation and Maintenance Data |
Yang, Letourneau, Scarlett, Zaluski |
NRC (Canada) |
Validation, Verification and Formal Methods |
| Towards Verification of Operational Procedures using Auto-Generated Diagnostic Trees |
Kurtoglu, Lutz, Patterson-Hine |
NASA Ames |
Validation, Verification and Formal Methods |
| Paper Title (Poster Presentation) |
Authors |
Affiliation |
| A Maturation Environment to Develop and Manage Health Monitoring Algorithms |
Lacaille |
Snecma (France) |
| A prognosis case study for electrolytic capacitor degradation in DC-DC converters |
Kulkarni, Biswas, Koutsoukos |
Vanderbilt University |
| A Prognostic Model for Electrohydraulic Servovalves |
Borello, Dalla Vedova, Jacazio, Sorli |
Politecnico of Turin (Italy) |
| A state-space model for multi-scale fatigue damage prognosis |
He, Lu, Liu |
Clarkson University |
| A System-Level Approach to Fault Progression Analysis in Complex Engineering Systems |
Abbas, Vachtsevanos |
Georgia Tech |
| An Innovative Approach to Electromechanical Actuator Emulation and Damage Propagation Analysis |
Kunst, Lynn |
Ridgetop |
| An Intelligent Architecture for on-line Failure Prognosis using Probabilistic Least Squares Support Vector Regression Machines |
Khawaja, Vachtsevanos |
Georgia Tech |
| An Overview of Prognosis Health Management Research at GRC for Gas Turbine Engine Structures with Special Emphasis on Deformation and Damage Modeling |
Arnold, Goldberg, Lerch, Saleeb |
NASA Glenn / University of Akron |
| ARINC 573/717, 767 and 647A: The Logical Choice for Maintenance Recording and IVHM Interface Control or Frame Updates |
Sudolsky |
Boeing |
| Classification of wear phenomena by specific ultrasonic emission detection for prognostic purposes |
Dettman, Soeffker |
University of Duisburg (Germany) |
| Complex System Prognostics : a New Systemic Approach |
Peysson, Ouladsine, Outbib |
University Paul Cezanne, Marseille (France) |
| Design of an Electrical Power System using a Functional Failure and Flow State Logic Reasoning Methodology |
Jensen, Tumer, Kurtoglu |
Oregon State University / MCT |
| Effect of Electrostatic Discharge on Electrical Characteristics of Discrete Electronic Components (Technical Brief) |
Wysocki, Vashchenko, Celaya, Saha, Goebel |
ASRC / RIACS / SGT / MCT / NASA Ames |
| Fuzzy Neural Network Modelling for Tool Wear Estimation in Dry Milling Operation |
Li, Lim, Zhou, Huang, Phua, Shaw, Er |
Singapore Institute of Manufacturing Technology (Singapore) / Nanyang Technological University (Singapore) |
| Generating a diagnostic system from an automated FMEA |
Neal Snooke |
Aberystwyth University (United Kingdom) |
| Health Indices Based on Morphology and Complexity Measures of Vibration Signals for Machine Condition Monitoring and Prognostics |
Samanta, Nataraj |
Villanova University |
| Health prognosis based on an new approach for damage accumulation calculation |
Dettmann, Soeffker |
University of Duisburg-Essen (Germany) |
| Identifying Optimal Prognostic Parameters from Data: A Genetic Algorithms Approach |
Coble, Hines |
Univ. of Tennessee |
| Incorporating Active Healing and Feedback in Structural Systems |
Huston, Hurley, Gervais, Gollins |
University of Vermont |
| Integrated Approach to Capability Enhancement and Maintenance: A Proposed Framework |
Kelly, Ratchev |
University of Nottingham (United Kingdom) |
| Optimal Feature Set for Detection of Inner Race Defect in Rolling Element Bearings |
Kappaganthu, Nataraj, Samanta |
Villanova University |
| Overview of PHMBIT |
Woollard |
Raytheon |
| Prognostics Framework for Remaining Life Prediction of Cutty Sark Iron Structures |
Rosunally, Stoyanov, Bailey, Mason, Campbell, Monger |
University of Greenwich (United Kingdom) / The Cutty Sark Trust (united Kingdom) / University of Portsmouth (United Kingdom) / Conservation & Museum Services (United Kingdom) |
| Prognostics of Solder Joint Failure Using RF Impedance Analysis |
Kwon, Azarian, Pecht |
University of Maryland |
| Reducing Uncertainty in Damage Growth Properties by Structural Health Monitoring |
Coppe, Haftka, Kim, Yuan |
University of Florida / North Caroline State University |
| The Effects on Fatigue Life of Aluminum Based on Surface Conditions |
Scott-Emuakpor, George, Cross |
AFRL |
| Towards Accelerated Aging Methodologies and Health Management of Power MOSFETs (Technical Brief) |
Celaya, Patil, Saha, Wyscoki, Goebel |
SGT / University of Maryland / MCT / ASRC / NASA Ames |