Non-parallel least squares support matrix machine for rolling bearing fault diagnosis-Reference-Cited by-同舟云学术

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Non-parallel least squares support matrix machine for rolling bearing fault diagnosis

Published:2020-03 Issue: Volume:145 Page:103676
ISSN:0094-114X
Container-title:Mechanism and Machine Theory
language:en
Short-container-title:Mechanism and Machine Theory

Author:

Li Xin,Yang Yu,Pan Haiyang,Cheng Jian,Cheng Junsheng

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hunan Province

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Bioengineering

Reference47 articles.

1. Rolling bearing fault diagnosis and performance degradation assessment under variable operation conditions based on nuisance attribute projection;Huang;Mech. Syst. Signal Process.,2019

2. Short-frequency Fourier transform for fault diagnosis of induction machines working in transient regime;Burriel-Valencia;IEEE Trans. Instrum. Meas.,2017

3. Rolling element bearing fault diagnosis using wavelet transform;Kankar;Neurocomputing,2011

4. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis;Cheng;ISA Trans.,2019

5. Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis;Pan;Mech. Syst. Signal Process.,2019

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3. Dynamics simulation-driven fault diagnosis of rolling bearings using security transfer support matrix machine;Reliability Engineering & System Safety;2024-03

4. Multi-sensor gearbox fault diagnosis using generalized minimum entropy deconvolution and main frequency center extraction;Measurement Science and Technology;2023-10-12

5. Prior-weighted support matrix machine for mine gearbox fault diagnosis under mislabeled data;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22

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