Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator

In order to improve the analytical result and robustness of modulation signal bispectrum based sideband estimator (MSB-SE), a method for extracting wear characteristics combining wavelet packet energy (WPE) and MSB-SE is proposed. Firstly, the wavelet packet transform is used to decompose the signal...

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Main Authors: Xinyu Wen, Ruiliang Zhang, Fengshou Gu, Pu Liu, Yandong Shi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2021-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.02.018
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author Xinyu Wen
Ruiliang Zhang
Fengshou Gu
Pu Liu
Yandong Shi
author_facet Xinyu Wen
Ruiliang Zhang
Fengshou Gu
Pu Liu
Yandong Shi
author_sort Xinyu Wen
collection DOAJ
description In order to improve the analytical result and robustness of modulation signal bispectrum based sideband estimator (MSB-SE), a method for extracting wear characteristics combining wavelet packet energy (WPE) and MSB-SE is proposed. Firstly, the wavelet packet transform is used to decompose the signal into multiple frequency bands, and the WPE of each frequency band is calculated. The frequency band with higher energy is selected for reconstruction to optimize the analysis frequency band and reduce the calculation amount. Then, the MSB-SE is carried out to extract the characteristics of tooth surface wear, and the online monitoring of tooth surface wear damage state is realized by using a reasonable index. Simulation and experimental results show that the proposed method is more robust, and can more accurately monitor tooth surface wear and evaluate the degree of wear damage.
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spelling doaj.art-4c439ad8c18640aa91ae533e5ba5a06b2023-05-26T09:36:43ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392021-01-014511712329800091Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband EstimatorXinyu WenRuiliang ZhangFengshou GuPu LiuYandong ShiIn order to improve the analytical result and robustness of modulation signal bispectrum based sideband estimator (MSB-SE), a method for extracting wear characteristics combining wavelet packet energy (WPE) and MSB-SE is proposed. Firstly, the wavelet packet transform is used to decompose the signal into multiple frequency bands, and the WPE of each frequency band is calculated. The frequency band with higher energy is selected for reconstruction to optimize the analysis frequency band and reduce the calculation amount. Then, the MSB-SE is carried out to extract the characteristics of tooth surface wear, and the online monitoring of tooth surface wear damage state is realized by using a reasonable index. Simulation and experimental results show that the proposed method is more robust, and can more accurately monitor tooth surface wear and evaluate the degree of wear damage.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.02.018Gear transmission;Wear monitoring;Modulation signal bispectrum;Wavelet packet transformation
spellingShingle Xinyu Wen
Ruiliang Zhang
Fengshou Gu
Pu Liu
Yandong Shi
Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator
Jixie chuandong
Gear transmission;Wear monitoring;Modulation signal bispectrum;Wavelet packet transformation
title Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator
title_full Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator
title_fullStr Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator
title_full_unstemmed Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator
title_short Gear Wear Monitoring based on Wavelet Packet Energy and Modulation Signal Bispectrum Sideband Estimator
title_sort gear wear monitoring based on wavelet packet energy and modulation signal bispectrum sideband estimator
topic Gear transmission;Wear monitoring;Modulation signal bispectrum;Wavelet packet transformation
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.02.018
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AT fengshougu gearwearmonitoringbasedonwaveletpacketenergyandmodulationsignalbispectrumsidebandestimator
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AT yandongshi gearwearmonitoringbasedonwaveletpacketenergyandmodulationsignalbispectrumsidebandestimator