A kernel based representation and discrimination feature extraction for gas turbine fault detection and diagnosis

Essential Technologies for Successful Prognostics - Proceedings of the 59th Meeting of the Society for Machinery Failure Prevention Technology

Volumn 1, Issue , 2005, Pages 157-166

  Venkataramana Kini, B ^a   Mukherjee, Joydeb ^a   Menon, Sunil ^b   Lalitha, E M ^a  

^a HONEYWELL TECHNOLOGY SOLUTIONS   (India)

^b HONEYWELL   (United States)

Author keywords

Fault detection; Fault diagnosis; Fault identification; Kernel methods; Maximum representation discrimination features

Indexed keywords

AIRLINE COSTS; AIRLINE SAFETY; DISTANCE METRICS; EIGEN DECOMPOSITION; FAULT DETECTION AND DIAGNOSIS; FAULT IDENTIFICATIONS; KERNEL MATRICES; KERNEL METHODS; NON-LINEAR METHODS; NON-LINEAR OPTIMIZATION; PREDICTIVE MAINTENANCE; SENSOR DATA; SINGLE PARAMETER; SNAPSHOT DATA;

FAILURE ANALYSIS; FEATURE EXTRACTION; GAS TURBINES; MACHINERY; SYSTEMS ENGINEERING; TECHNOLOGY;

FAULT DETECTION;

EID: 84868617789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Fault Diagnosis in Dynamic Systems: Theory and Applications, R. Patton, P. Frank, and R. Clark, eds., Prentice Hall, Englewood Cliffs, N.J., 1989.
2. Hastie T. and W. Stuetzle, "Principal curves," JASA, vol. 84, pp. 502 - 516, 1989.
3. Baudat G., Anouar F. "Generalized Discriminant Analysis Using a Kernel Approach" Neural Computation 12, 2385-2404, 2000.
4. Talukder A., "Nonlinear Feature Extraction for Pattern Recognition Applications" PhD thesis-eMU, 1999.
5. Principal Component Neural Networks: Theory and Applications. Diamantaras and Kung, John Wiley & Sons, Inc. New York, NY, USA, 1996.
6. M.A. Kramer. "Nonlinear principal component analysis using autoassociative neural networks". AIChEJournal, 37(2):233-243, 1991.
7. Bernhard Scholkopf: Alexander Smola, Klaus-Robert Muller "Nonlinear component analysis as a kernel eigenvalue problem," Neural Computation 10, 1299-1319, 1998.
8. st Edition, 2001
9. nd Edition, 2000.