Research on fault diagnosis method of piston rod of reciprocating compressor under the condition of air volume regulation

Yue Shu; Fengyu Li; Zhilong Liu; Yang Yu; Xiaoming Liu

doi:10.1117/12.2639570

27 June 2022 Research on fault diagnosis method of piston rod of reciprocating compressor under the condition of air volume regulation

Yue Shu, Fengyu Li, Zhilong Liu, Yang Yu, Xiaoming Liu

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Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122530L (2022) https://doi.org/10.1117/12.2639570
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

By arranging displacement measuring points on the piston rod of the reciprocating compressor, the axis track diagram of the piston rod of the reciprocating compressor is obtained, and using the improved method of discrete point contour envelope of the axis track, the results are obtained under different air volume adjustment conditions of the reciprocating compressor. An envelope that is closer to the shape of the pivot position. The weights are calculated by the ReliefF method, and the RS features are obtained, and the feature analysis method after merging with the time-frequency domain features, obtains a very accurate fault feature identification method in three stages: normal piston rod, early fault, and fault deterioration.

Citation Download Citation

Yue Shu, Fengyu Li, Zhilong Liu, Yang Yu, and Xiaoming Liu "Research on fault diagnosis method of piston rod of reciprocating compressor under the condition of air volume regulation", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122530L (27 June 2022); https://doi.org/10.1117/12.2639570

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KEYWORDS

Sensors

Remote sensing

Neural networks

Feature extraction

Feature selection

Time-frequency analysis

Lithium

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