Fuzzy Diagnostics for Mechanical Fault of On-Load Tap Changers

Article Preview

Abstract:

With chaotic dynamics analysis to the mechanical vibration signals of on-load tap changers(OLTC) operations, a geometric feature extraction scheme is developed for phase portrait structure based on a multi-dimensional coordinate space. The fuzzy set theory is further introduced into OLTC mechanical fault diagnosis, with a view to establishing the normal distribution membership function of every condition fuzzy set. Regarding two sample categories, i.e. single analyte sample and analyte sample sets, both principles of the largest membership and the optional nearly are used for fuzzy reasoning to finally realize mechanical fault diagnosis of OLTC.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1092-1093)

Pages:

272-275

Citation:

Online since:

March 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Bengtsson C. Status and trend in transformer monitoring[J]. IEEE Transactions on Power Delivery, 1996, 11(3): 1379~1384.

DOI: 10.1109/61.517495

Google Scholar

[2] Kang P, Birtwhistle D. Condition monitoring of power transformer on-load tap changers. Part1: Automatic condition monitoring [A]. IEE Proceeding on Generation, Transmission and Distribution [C], 2001, 148(4): 301~306.

DOI: 10.1049/ip-gtd:20010389

Google Scholar

[3] Kang P, Birtwhistle D. Condition monitoring of power transformer on-load tap changers. Part 2: Detection of aging from vibration signatures [A]. IEE Proceeding on Generation, Transmission and Distribution [C], 2001, 148(4): 307~311.

DOI: 10.1049/ip-gtd:20010388

Google Scholar