Fault feature extraction method based on EWT-SMF and MF-DFA for valve fault of reciprocating compressor

Author:

Wang Jindong,Li Ying,Zhao Haiyang,Zhang Longyu,Ou Lingfei

Publisher

JVE International Ltd.

Subject

Mechanical Engineering,General Materials Science

Reference32 articles.

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4. A compound interpolation envelope local mean decomposition and its application for fault diagnosis of reciprocating compressors;Zhao;Mechanical Systems and Signal Processing,2018

5. Empirical wavelet transform;Gilles;IEEE Transactions on Signal Processing,2013

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1. Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor;Sensors;2024-01-11

2. Feasibility exploration of strain-based indicator diagram reconstruction for reciprocating compressor fault diagnosis;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-10-17

3. Online Monitoring of Reciprocating Compressor Health Conditions;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06

4. A new method for reciprocating compressor fault diagnosis based on indicator diagram feature extraction;Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy;2023-03-15

5. A BMFO-KNN based intelligent fault detection approach for reciprocating compressor;International Journal of System Assurance Engineering and Management;2021-11-09

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