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Research article

First published 2016-8

Experimental investigation of the fault diagnosis of typical faults in reciprocating compressor valves

Yuefei Wang, Ang Gao, Sulu Zheng [...]

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

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Review article

First published 2023-2

Early warning of reciprocating compressor valve fault based on deep learning network and multi-source information fusion

Hongyi Wang, Jiwei Chen, Xinjun Zhu [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2018-10

Single and combined fault diagnosis of reciprocating compressor valves using a hybrid deep belief network

Van Tung Tran, Faisal AlThobiani, Tiedo Tinga [...]

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

Open access

Research article

First published 2024-3

Fault diagnosis of reciprocating compressor using Teager-Kaiser energy operator and envelope spectral feature extraction

Chin-Che Hou, Min-Chun Pan

Advances in Mechanical Engineering

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Research article

First published 2025

Fault diagnosis in reciprocating air compressors using ensemble voting classifier

Suhash Reddy, Naveen Venkatesh Sridharan, Aravinth Sivakumar [...]

Structural Health Monitoring

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Research article

First published 2020-9

Assessment of characteristics of acoustic emission parameters for valve damage detection under varying compressor speeds

Hoi Yin Sim, Rahizar Ramli, Ahmad Saifizul

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

Open access

Research article

First published 2024-12

Fault diagnosis of air compressors using transfer learning: A comparative study of pre-trained networks and hyperparameter optimization

B Srivatsan, S Naveen Venkatesh, S Aravinth [...]

Journal of Low Frequency Noise,Vibration and Active Control

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Research article

First published 2023-9

A new method for reciprocating compressor fault diagnosis based on indicator diagram feature extraction

Weifeng Wu, Chengyi Li, Zhongqing Zhu [...]

Proceedings of the Institution of Mechanical Engineers,Part A: Journal of Power and Energy

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Research article

First published 2023-3

Prediction of air compressor condition using vibration signals and machine learning algorithms

Aravinth S, Sugumaran V

Journal of Vibration and Control

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Research article

First published 2024-1

Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms

Adel Afia, Fawzi Gougam, Chemseddine Rahmoune [...]

Transactions of the Institute of Measurement and Control

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