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...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Xiaoan Yan, Ying Liu, Minping Jia
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2020-08-01
主題:	symplectic geometry mode decomposition improved multiscale symbolic dynamic entropy multiclass relevance vector machine rolling bearing fault diagnosis
オンライン･アクセス:	https://www.mdpi.com/1424-8220/20/15/4352