NDLI: One-class Bearings Fault Detection Model Based on Lyapunov Exponent Spectrum

Content Provider	IEEE Xplore Digital Library
Author	Tao Xinmin Du Baoxiang Xu Yong
Copyright Year	2007
Description	Author affiliation: Harbin Eng. Univ., Harbin (Tao Xinmin; Du Baoxiang; Xu Yong)
Abstract	In order to avoid the practical application problems, abnormal data insufficiency and unavailability, and solve the difficulty of calculating embed dimension and time tag before calculating Lyapunov exponent, an one-class Bearings fault detection model based on genetic algorithm and Lyapunov exponent spectrum is proposed in this paper. The normal training samples are used to decide reconstructed phase space. Then the signals with different conditions will be projected into RPS, the Lyapunov exponent is calculated which is classified as features. The optimum decision threshold values are determined by Genetic Algorithm. The results show that Lyapunov exponent for fault detection is more efficient than for fault diagnosis. In experiment, the performance of detector with largest Lyapunov exponent and Lyapunov exponent spectrum entropy is compared .The results evaluates the effectiveness of the proposed approach. This proposed approach is compared against MLP and other detection techniques. The results show the relative effectiveness of the proposed classifiers in detection of the bearing condition with some concluding remarks.
Starting Page	445
Ending Page	450
File Size	951165
Page Count	6
File Format	PDF
ISBN	9787811240559
DOI	10.1109/CHICC.2006.4346976
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault Detection Reconstructed Phase Space Lyapunov exponent Entropy Data engineering Entropy Electronic mail Genetic algorithms Fault diagnosis MLP Fault detection Detectors Lyapunov exponent Genetic engineering
Content Type	Text
Resource Type	Article

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