Gear fault diagnosis based on SGMD noise reduction and CNN

Gear vibration fault signals are non-stationary and nonlinear, so it is very difficult to accurately extract the fault characteristics for diagnosis. As symplectic geometry mode decomposition (SGMD) has shown excellent decomposition performance and noise robustness in signal processing. A novel gear...

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發表在:	Journal of Advanced Mechanical Design, Systems, and Manufacturing
Main Authors:	Wei CHEN, Hao WANG, Zhuoxian LI, Zhexin ZHOU
格式:	Article
語言:	英语
出版:	The Japan Society of Mechanical Engineers 2022-10-01
主題:	gear fault diagnosis symplectic geometry mode decomposition empirical mode decomposition convolutional neural network
在線閱讀:	https://www.jstage.jst.go.jp/article/jamdsm/16/3/16_2022jamdsm0031/_pdf/-char/en