Fault Diagnosis of Induction Motor Based on Wavelet Packet Analysis and Negative Selection Algorithm

Gui Li Yuan; Shi Wei Qin

doi:10.4028/www.scientific.net/AMR.591-593.1986

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Fault Diagnosis of Induction Motor Based on...

Fault Diagnosis of Induction Motor Based on Wavelet Packet Analysis and Negative Selection Algorithm

Abstract:

For the spectrum characteristics of the motor vibration, the vibration fault diagnosis method of motor rotor rubbing based on wavelet packet transform and real-valued negative selection algorithm is put forward. Using wavelet packet analysis to energy analysis of rotor rubbing and extracting the fault feature vectors, then by real-valued negative selection algorithm to identify the normal and failure mode eigenvectors. The experimental results show that with this method all the rotor rubbing faults can be detected comprehensive and rapidly. This method has high feasibility of the wavelet packet analysis and real-valued negative selection algorithm in the rotor rubbing fault diagnosis.

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Periodical:

Advanced Materials Research (Volumes 591-593)

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1986-1990

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1986

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November 2012

Authors:

Gui Li Yuan, Shi Wei Qin

Keywords:

Fault Diagnosis, Negative Selection Algorithm, Rotor Rubbing, Wavelet Packet Analysis

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