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Research article

First published 2005-2

Fault identification in rotating machinery using artificial neural networks

H Nahvi, M Esfahanian

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

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Research article

First published 2000-7

The application of a correlation dimension in large rotating machinery fault diagnosis

W Wang, J Chen, Z Wu

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

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Research article

First published 2020-11

A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery

Xiaoli Zhao, Minping Jia

Structural Health Monitoring

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Research article

First published 2018-6-22

Fault diagnosis method of rotating machinery based on stacked denoising autoencoder

Zhouliang Chen, Zhinong Li

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2017-12

Optimal resonance-based signal sparse decomposition and its application to fault diagnosis of rotating machinery

Dingcheng Zhang, Dejie Yu, Xing Li

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

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Research article

First published 2022-1

Construction of a deep sparse filtering network for rotating machinery fault diagnosis

Chun Cheng, Wei Zou, Weiping Wang [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2018-6-22

Image feature extraction based on HOG and its application to fault diagnosis for rotating machinery

Jiayu Chen, Dong Zhou, Yang Wang [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2007-3

Ensemble feature selection for diagnosing multiple faults in rotating machinery

E Zio, P Baraldi, G Gola

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2025-3

Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery

Dongdong Liu, Lingli Cui, Gang Wang [...]

Structural Health Monitoring

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Research article

First published 2019-07-09

Condition monitoring and fault diagnosis of rotating machinery based on feature extraction and expression of vibration signals

Liu Haixia

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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