RESEARCH ON ROLLING BEARING FAULT FEATURE EXTRACTION METHOD WITH SGMD-MOMEDA (MT)

Aiming at the problem that the vibration signal of rolling bearing is difficult to extract due to the characteristics of non-linear, non-stationary and low signal-to-noise ratio, a new fault extraction method based on symplectic geometry mode decomposition（SGMD） and multipoint optimal minimum entrop...

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Hlavní autoři:	CAO YaLei, DU YingJun, WEI Guang, DONG XinMin, GAO LiPeng, LIU YuXi
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Journal of Mechanical Strength 2022-01-01
Edice:	Jixie qiangdu
Témata:	Symplectic geometry mode decomposition Symplectic geometry component Multipoint optimal minimum entropy deconvolution adjusted Feature extraction Rolling bearing fault diagnosis
On-line přístup:	http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.06.02
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