Feature dimensionality reduction for partial discharge diagnosis of aircraft wiring

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

Volumn 1, Issue , 2005, Pages 167-176

  Yan, Weizhong ^a   Goebel, Kai F ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

Classifier; Dimensionality reduction; Feature selection; Linear discriminant analysis; Partial discharge; PD diagnosis; Principal component analysis

Indexed keywords

CLASSIFICATION PERFORMANCE; DIMENSIONALITY REDUCTION; DISCHARGE DIAGNOSIS; DISCHARGE SIGNAL; DISCRIMINANT POWER; ELECTRICAL SYSTEMS; FEATURE EXTRACTION METHODS; HIGH QUALITY; HIGH VOLTAGE; INSULATION FAULT DIAGNOSIS; INSULATION SYSTEM; LINEAR DISCRIMINANT ANALYSIS; LINEAR FEATURE; LOW VOLTAGES; PD DIAGNOSIS; PD DIAGNOSTICS; PHYSICAL PHENOMENA; SELECTION TECHNIQUES; WIRING DIAGNOSTIC; WIRING SYSTEMS;

AIRCRAFT; CLASSIFIERS; FEATURE EXTRACTION; INSULATION; LINEAR TRANSFORMATIONS; MACHINERY; MATHEMATICAL TRANSFORMATIONS; PRINCIPAL COMPONENT ANALYSIS; SYSTEMS ENGINEERING; TECHNOLOGY;

PARTIAL DISCHARGES;

EID: 84868612466     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Gulski, E. (1995), "Digital analysis of partial discharges", IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 2, No.5, pp822-37.
2. Gulski, E., Burger, H.P., Zielonka, A., and Brooks, R. (1996), "Classification of defects in HV components by fractal analysis of PD measurements", IEEE Annual Report Conference on Electrical Insulation and Dielectric Phenomena, San Francisco, October 20-23, 1996
3. Abdul Rahman, M.K., Arora, R., and Srivastava, S.C. (2000), "Partial discharge classification using principal component transformation", IEE Proceedings of Scientific Measurement Technologies, Vol. 147, No.1, pp7-13
4. Van, W. & Goebel, K. (2005), "Feature selection for partial discharge diagnosis", Submitted to SPIE Smart Structures 2005, March 6-10, San Diego, CA
5. Fodor, I.K. (2002), "A survey of dimension reduction techniques", Lawrence Livermore National Laboratory (LLN L) technical report, June 2002, UCRL-ID148494
6. Duda, R. O., Hart, P. E., and Stork, D. G. (2000), Pattern Classification, John Wiley & Sons, Inc., New York, NY
7. Martinez, A.M. and Kak, A.C. (2001), "PCA versus LOA", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No.2, pp228-233.
8. Contin, A., Cavallini, A., Montanari, G.C., Pasini, G., and Puletti, F. (2000), "Artificial intelligence methodology for separation and classification of partial discharge signals", Proceedings of IEEE Conference on Electrical Insulation and Dielectric Phenomena", Victoria, Canada, pp522-26.
9. Contin, A., Cavallini, A., Montanari, G.C., Pasini, G., and Puletti, F. (2002), "Digital detection and fuzzy classification of partial discharge signals", IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 9, No.3, pp335-48
10. Vapnik, V. (1995), The nature of statistical learning theory, Springer-Verlag, New York, 1995