Sparse feature extraction for fault diagnosis of rotating machinery based on sparse decomposition combined multiresolution generalized S transform

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Incipient Fault Feature Extraction for Rotating Machinery Based on Improved AR-Minimum Entropy Deconvolution Combined with Variational Mode Decomposition Approach

Qing Li 1,* , Xia Ji 1 and Steven Y. Liang 1,2 1 College of Mechanical Engineering, Donghua University, Shanghai 201620, China; [email protected] 2 George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405, USA; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +86-021-6779-2583; Fax: +86-021-6779...

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ژورنال

عنوان ژورنال: Journal of Low Frequency Noise, Vibration and Active Control

سال: 2019

ISSN: 1461-3484,2048-4046

DOI: 10.1177/1461348418825406