Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data-Reference-Cited by-同舟云学术

Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data

Published:2020-07 Issue: Volume:141 Page:106441
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

He Zhiyi,Shao Haidong^ORCID,Cheng Junsheng,Zhao Xianzhu,Yang Yu

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hunan Province

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference40 articles.

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4. Bearing fault diagnosis using a whale optimization algorithm-optimized orthogonal matching pursuit with a combined time–frequency atom dictionary;Zhang;Mech. Syst. Sig. Process.,2018

5. Statistical spectral analysis for fault diagnosis of rotating machines;Ciabattoni;IEEE Trans. Ind. Electron.,2018

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