Plunger pump fault degree identification method based on variable rotating speed signal after SNST

LIU Jiamin1, 2, ZHOU Xintao1, 2, WU Yuwen1, 2, LI Yining1, 2, MENG Shuai3

Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (15) : 192-200.

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PDF(2873 KB)
Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (15) : 192-200.
FAULT DIAGNOSIS ANALYSIS

Plunger pump fault degree identification method based on variable rotating speed signal after SNST

  • LIU Jiamin*1,2, ZHOU Xintao1,2, WU Yuwen1,2, LI Yining1,2, MENG Shuai3
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Abstract

Hydraulic equipment undergoes multi-domain energy conversion during operation. Especially under variable operating conditions, this process typically exhibits non-linearity and non-stationarity, which poses challenges for condition monitoring and fault diagnosis. The study introduces the utilization of the instantaneous speed (IS) signal for fault diagnosis of axial piston pumps. The IS serves both as a system dynamics parameter and a condition monitoring variable, offering significant advantages when the pump operates under non-stationary conditions. Through theoretical analysis, it has been concluded that the fluctuation components of the IS signal contain information about the health status of pumps. The synchro-extracting normal S transform (SNST) is proposed for performing line-pass filtering on the signal. The K-medoids method is then applied to cluster the angular eigenvalues of the filtered and reconstructed IS fluctuation signals. Experiments under variable speed and load conditions were conducted on an integrated mechatronic-hydraulic platform, successfully diagnosing faults in the axial piston pump's swashplate under normal, slight wear, and severe wear conditions. The research findings provide new methodologies for monitoring the operating status and diagnosing faults in hydraulic equipment.

Key words

fault diagnosis / pump / instantaneous angular speed / non stationary

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LIU Jiamin1, 2, ZHOU Xintao1, 2, WU Yuwen1, 2, LI Yining1, 2, MENG Shuai3. Plunger pump fault degree identification method based on variable rotating speed signal after SNST[J]. Journal of Vibration and Shock, 2025, 44(15): 192-200

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