A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine

The vibration signal induced by bearing local fault has strong nonstationary and nonlinear property, which indicates that the conventional methods are difficult to recognize bearing fault patterns effectively. Hence, to obtain an efficient diagnosis result, the paper proposes an intelligent fault di...

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Hlavní autoři:	Xiaoan Yan, Ying Liu, Minping Jia
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-08-01
Edice:	Sensors
Témata:	symplectic geometry mode decomposition improved multiscale symbolic dynamic entropy multiclass relevance vector machine rolling bearing fault diagnosis
On-line přístup:	https://www.mdpi.com/1424-8220/20/15/4352
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