Share Email Print
cover

Proceedings Paper

Application of fractal exponent wavelet network in fault diagnosis system of turbo-generator set
Author(s): Weili Huang; Weijian Huang; Guanjun Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An effective approach for multi-concurrent fault diagnosis based on integration of fractal exponent wavelet analysis and neural networks is presented. The wavelet transform can accurately localizes the characteristics of a signal both in the time and frequency domains and in a view of the inter relationship of wavelet transform between fractal theory, the whole and local fractal exponents obtained from wavelet transform coefficients as features are presented for extracting fault signals, which are inputted into radial basis function (RBF) for fault pattern recognition. The fault diagnosis model of turbo-generator set is established and the improved Levenberg-Marquardt (LM) optimization technique is used to fulfill the network structure and parameter identification. By means of choosing enough samples to train the fault diagnosis network and the information representing the faults is input into the trained wavelet network, and according to the output result the type of fault can be determined. The robustness of exponent wavelet network for fault diagnosis is discussed. The practical multi-concurrent fault diagnosis for stator temperature fluctuation and rotor vibration approves to be accurate and comprehensive. The method can be generalized to other devices' fault diagnosis.

Paper Details

Date Published: 30 October 2006
PDF: 6 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 635841 (30 October 2006); doi: 10.1117/12.718182
Show Author Affiliations
Weili Huang, Hebei Univ. of Engineering (China)
Weijian Huang, Hebei Univ. of Engineering (China)
Guanjun Li, Handan Informatization and Development Office (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top