Flaw Diagnosis Technology for Remanufactured Motor Rotor Based on Optimal Wavelet Packet Shannon Entropy

doi:10.3901/JME.2016.04.007

Abstract

Abstract: In order to monitor the quality of remanufactured motor rotor effectively, ultrasonic technology is used for testing and evaluation of its internal flaws. Considering that best wavelet packet filter is good at filtering and shannon information entropy algorithm is sensitive to variation of noise content in ultrasonic signal, the two algorithms are integrated together, then a new conception named best wavelet packet Shannon entropy(BWPSE) is proposed, a new de-noising method based on BWPSE is proposed. The gathered ultrasonic testing signal of remanufactured motor rotor is processed by way of BWPSE, and the wavelet packet decomposition coefficients of each scale are gotten,which are employed to calculate the shannon entropy of each scale, by analyzing the variation of Shannon entropy,the decomposition level and threshold are determined. The proposed method are verified with the de-nosing result of remanufactured motor rotor, which prove that the BWPSE method is in favor of enhancing the accuracy of quantitative analysis for the flaw inside the remanufactured motor rotor , comparing with other de-nosing methods such as wavelet analysis based on Sqtwolog threshold and Heursure threshold, etc.

Key words: matrix modelconstraints, Monte Carlo, optimization, tolerance

CLC Number:

TM307

YAN Xiaoling, DONG Shiyun, XU Binshi. Flaw Diagnosis Technology for Remanufactured Motor Rotor Based on Optimal Wavelet Packet Shannon Entropy[J]. Journal of Mechanical Engineering, 2016, 52(4): 7-12.

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