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Research article

First published 2017-10

Multiscale morphological manifold for rolling bearing fault diagnosis

Yi Feng, Baochun Lu, Dengfeng Zhang

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2024-10

A knowledge-based fault diagnosis method for rolling bearings without fault sample training

Zhuoxiang Chen, Qing Zhang, Jianqun Zhang [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2014-2

Fault diagnosis of rolling bearings based on Marginal Fisher analysis

Li Jiang, Tielin Shi, Jianping Xuan

Journal of Vibration and Control

Open access

Research article

First published 2020-10

Fault diagnosis method of rolling bearings Based on SPA-FE-IFSVM

Hui Han, Lina Hao

Advances in Mechanical Engineering

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Research article

First published 2017-5

A fault diagnosis method of rolling element bearings based on CEEMDAN

Yaguo Lei, Zongyao Liu, Julien Ouazri [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

Open access

Research article

First published 2023-3

Rolling bearing intelligent fault diagnosis method based on IPSO-WCNN

Ronghua Chen, Yingkui Gu, Kuan Wu [...]

Measurement and Control

Open access

Research article

First published 2020-1

A rolling bearing fault diagnosis method based on LSSVM

Xuejin Gao, Hongfei Wei, Tianyao Li [...]

Advances in Mechanical Engineering

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Review article

First published 2026-1

Research progress on bearing fault diagnosis with deep learning methods for rolling element bearings

Samruddhi Patel, Sanjay Patel

Noise & Vibration Worldwide

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Research article

First published 2015-12

The application of time–frequency reconstruction and correlation matching for rolling bearing fault diagnosis

Jian Xu, Shuiguang Tong, Feiyun Cong [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2018-1

Fault diagnosis of rolling element bearing compound faults based on sparse no-negative matrix factorization-support vector data description

Hongchao Wang

Journal of Vibration and Control

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