Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis.
Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis.
复制标题
基于小波包能量与调制信号双谱分析的行星齿轮箱早期故障诊断
DOI:
10.3390/s18092908
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发表时间:
2018-09-01
期刊:
影响因子:
--
通讯作者:
Ball AD
中科院分区:
文献类型:
--
作者:
Guo J;Shi Z;Li H;Zhen D;Gu F;Ball AD
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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DOI:
10.3390/s17112477
发表时间:
2017-10-28
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Lee DH;Ahn JH;Koh BH
通讯作者:
Koh BH
影响因子:
4.7
作者:
Cui, Lingli;Zhang, Yu;Lee, Seungchul
通讯作者:
Lee, Seungchul
影响因子:
8.4
作者:
Gu, F.;Shao, Y.;Ball, A. D.
通讯作者:
Ball, A. D.
影响因子:
2.4
作者:
Sui, Wentao;Osman, Shazali;Wang, Wilson
通讯作者:
Wang, Wilson
影响因子:
8.4
作者:
Wang, Dong;Tse, Peter W.;Tsui, Kwok Leung
通讯作者:
Tsui, Kwok Leung