Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis

The planetary gearbox is at the heart of most rotating machinery. The premature failure and subsequent downtime of a planetary gearbox not only seriously affects the reliability and safety of the entire rotating machinery but also results in severe accidents and economic losses in industrial applica...

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Main Authors: Junchao Guo, Zhanqun Shi, Haiyang Li, Dong Zhen, Fengshou Gu, Andrew D. Ball
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/9/2908
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author Junchao Guo
Zhanqun Shi
Haiyang Li
Dong Zhen
Fengshou Gu
Andrew D. Ball
author_facet Junchao Guo
Zhanqun Shi
Haiyang Li
Dong Zhen
Fengshou Gu
Andrew D. Ball
author_sort Junchao Guo
collection DOAJ
description The planetary gearbox is at the heart of most rotating machinery. The premature failure and subsequent downtime of a planetary gearbox not only seriously affects the reliability and safety of the entire rotating machinery but also results in severe accidents and economic losses in industrial applications. It is an important and challenging task to accurately detect failures in a planetary gearbox at an early stage to ensure the safety and reliability of the mechanical transmission system. In this paper, a novel method based on wavelet packet energy (WPE) and modulation signal bispectrum (MSB) analysis is proposed for planetary gearbox early fault diagnostics. First, the vibration signal is decomposed into different time-frequency subspaces using wavelet packet decomposition (WPD). The WPE is calculated in each time-frequency subspace. Secondly, the relatively high energy vectors are selected from a WPE matrix to obtain a reconstructed signal. The reconstructed signal is then subjected to MSB analysis to obtain the fault characteristic frequency for fault diagnosis of the planetary gearbox. The validity of the proposed method is carried out through analyzing the vibration signals of the test planetary gearbox in two fault cases. One fault is a chipped sun gear tooth and the other is an inner-race fault in the planet gear bearing. The results show that the proposed method is feasible and effective for early fault diagnosis in planetary gearboxes.
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spelling doaj.art-a6ac2c84ec7042b29d9cb9485acc03722022-12-22T04:19:44ZengMDPI AGSensors1424-82202018-09-01189290810.3390/s18092908s18092908Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum AnalysisJunchao Guo0Zhanqun Shi1Haiyang Li2Dong Zhen3Fengshou Gu4Andrew D. Ball5School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, ChinaCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, ChinaCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKCentre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKThe planetary gearbox is at the heart of most rotating machinery. The premature failure and subsequent downtime of a planetary gearbox not only seriously affects the reliability and safety of the entire rotating machinery but also results in severe accidents and economic losses in industrial applications. It is an important and challenging task to accurately detect failures in a planetary gearbox at an early stage to ensure the safety and reliability of the mechanical transmission system. In this paper, a novel method based on wavelet packet energy (WPE) and modulation signal bispectrum (MSB) analysis is proposed for planetary gearbox early fault diagnostics. First, the vibration signal is decomposed into different time-frequency subspaces using wavelet packet decomposition (WPD). The WPE is calculated in each time-frequency subspace. Secondly, the relatively high energy vectors are selected from a WPE matrix to obtain a reconstructed signal. The reconstructed signal is then subjected to MSB analysis to obtain the fault characteristic frequency for fault diagnosis of the planetary gearbox. The validity of the proposed method is carried out through analyzing the vibration signals of the test planetary gearbox in two fault cases. One fault is a chipped sun gear tooth and the other is an inner-race fault in the planet gear bearing. The results show that the proposed method is feasible and effective for early fault diagnosis in planetary gearboxes.http://www.mdpi.com/1424-8220/18/9/2908Wavelet Packet Energy (WPE)Modulation Signal Bispectrum (MSB)time-frequency subspacesplanetary gearbox
spellingShingle Junchao Guo
Zhanqun Shi
Haiyang Li
Dong Zhen
Fengshou Gu
Andrew D. Ball
Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
Sensors
Wavelet Packet Energy (WPE)
Modulation Signal Bispectrum (MSB)
time-frequency subspaces
planetary gearbox
title Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
title_full Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
title_fullStr Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
title_full_unstemmed Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
title_short Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
title_sort early fault diagnosis for planetary gearbox based wavelet packet energy and modulation signal bispectrum analysis
topic Wavelet Packet Energy (WPE)
Modulation Signal Bispectrum (MSB)
time-frequency subspaces
planetary gearbox
url http://www.mdpi.com/1424-8220/18/9/2908
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