Useful lifetime tracking via the IMM

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4733, Issue , 2002, Pages 145-156

  Phelps, Ethan ^a   Willett, Peter ^a   Kirubarajan, Thiagalingam ^b  

^a University of Connecticut   (United States)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

Condition based maintenance; IMM; Kalman filter; Prognostics; TEAMS

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SIMULATION; FAILURE ANALYSIS; FEATURE EXTRACTION; KALMAN FILTERING; PREVENTIVE MAINTENANCE; PROBABILITY; SENSORS; VECTORS;

AUTOREGRESSIVE MOVING AVERAGE; BAYESIAN METHODS; CONDITION BASED MAINTENANCE; HIGH FREQUENCY RESONANCE TECHNIQUE; INTERACTING MULTIPLE MODEL TRACKING SOLUTIONS; SENSOR LEVEL TEST FAILURE PROBABILITY VECTORS; STREE WAVE ANALYSIS; TIME SYNCHRONOUS AVERAGE RESIDUE;

SYSTEMS ANALYSIS;

EID: 0036413232     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.475504     Document Type: Article

References (10)

1. Michael Roemer and Gregory Kacprzyski, "Advanced Diagnostics and Prognostics for Gas Turbine Engine Risk Assessment", IEEE 2000 Aerospace Conference Proceedings, CD ROM, March 2000.
2. Stephen Engel, Barbara Gilmartin, Kenneth Bongort, and Andrew Hess, "Prognostics, The Real Issues Involved With Predicting Life Remaining", IEEE 2000 Aerospace Conference Proceedings, CD ROM, March, 2000.
3. David Board "Stress Wave Analysis of Turbine Engine Faults", IEEE 2000 Aerospace Conference Proceedings, CD ROM, March, 2000.
4. Tom Brotherton, Gary Jahns, Jerry Jacobs, and Dariusz Wroblewski, "Prognosis of Faults in Gas Turbine Engines", IEEE 2000 Aerospace Conference Proceedings, CD ROM, March 2000.
5. Y. Li, J. Shiroishi, S. Danyluk, T. Kurfess, and S. Y. Liang, "Bearing Fault Detection via High Frequency Resonance Technique with Adaptive Line Enhancer", Proceedings of the 51st Meeting of the Society for MFPT (Vol. 51), pp. 763-772, 1997.
6. Amulya Garga, Bryan Elverson, and Derek Lang, "AR Modeling with Dimension Reduction for Machinery Fault Classification", Proceedings of the 51st Meeting of the Society for MFPT (Vol. 51), pp. 309-318, 1997.
7. Y. Bar-Shalom, X. R. Li and T. Kirubarajan, Estimation with Applications to Tracking and Navigation: Algorithms and Software, New York, NY: John Wiley & Sons, 2001.
8. Amulya Garga, Katherine McClintic, Robert Campbell, Chin-Chung Yang, Mitchell Lebold, Todd Hay and Carl Byington, "Hybrid Reasoning for Prognostic Learning in Systems", IEEE 2001 Aerospace Conference Proceedings, CD ROM, March 2001.
9. David Swanson, "A General Prognostic Tracking Algorithm for Predictive Maintenance", IEEE 2001 Aerospace Conference Proceedings, CD ROM, March 2001.
10. E. Phelps, T. Kirubarajan and P. Willett, "Statistical Approaches to Prognostics", Proceedings of the 2001 SPIE Aerosense Conference on Component and Systems Diagnostics, Prognostics, and Health Management, Orlando FL, April 2001.