Study of the Fault Diagnosis Method Based on Wavelet Time and Frequency Analysis

Qun Qi; Xue Zhang Zhao

doi:10.4028/www.scientific.net/AMR.472-475.2166

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 472-475Study of the Fault Diagnosis Method Based on...

Study of the Fault Diagnosis Method Based on Wavelet Time and Frequency Analysis

Abstract:

In order to better solve asynchronous motor complex fault characteristics, improve the reliability of the diagnosis and accuracy, combined with wavelet transform technique, construct a wavelet neural network, wavelet transform technology feature extraction asynchronous motor as a signal wavelet neural network's input vector, and the wavelet neural network algorithm was used to optimize, realize the motor identify types of fault, through the simulation experiment data diagnosis results show that this method is effective and feasible. Based on the wavelet analysis and neural network fault diagnosis method of research.

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Advanced Manufacturing Technology, ICMSE 2012

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Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

2166-2170

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.472-475.2166

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Online since:

February 2012

Authors:

Qun Qi, Xue Zhang Zhao

Keywords:

Fault Diagnosis, Wavelet Neural Network (WNN), Wavelet Transform (WT)

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