A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions

Due to the intense noise interference in hydraulic systems, it is extremely difficult to detect component faults through vibration signals. Diagnostic performance is also constrained by highly time-varying and non-stationary operating conditions. This study proposes to use instantaneous angular spee...

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Bibliographic Details
Published in:Lubricants 2023-09, Vol.11 (9), p.406
Main Authors: Liu, Jiamin, Meng, Shuai, Zhou, Xintao, Gu, Lichen
Format: Article
Language:English
Subjects:
Analysis
Angular speed
Axial flow pumps
Digital map services
Fault detection
Fault diagnosis
Fault lines
Hydraulic equipment
Hydraulics
Industrial equipment
instantaneous angular speed
non-stationary
piston pump
Polar coordinates
Sensors
Signal to noise ratio
Valves
Wavelet transforms
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Summary:Due to the intense noise interference in hydraulic systems, it is extremely difficult to detect component faults through vibration signals. Diagnostic performance is also constrained by highly time-varying and non-stationary operating conditions. This study proposes to use instantaneous angular speed (IAS) signals that are both operational and state parameters as sources of information. Firstly, the instantaneous angular speed fluctuation (IASF) of a piston pump is analyzed theoretically, and it is concluded that its fluctuating components contain the health status information of the components. The IASF can then be obtained by subtracting the speed trend term from IAS signals obtained via a magneto-electric speed sensor. A synchro-extraction of the normal S transform (SNST) is proposed to process it via line-pass filtering. Finally, the filtered and reconstructed IASF signal is utilized to draw a two-dimensional polar coordinate map online. A non-stationary-condition test is carried out on the test platform to monitor the morphological characteristics of the valve plate under normal, slight, and severe wear conditions. The polar plot shows significant increases in speed fluctuations and oscillation times within a range from 180° to 270°. The relevant research results reflect that the IAS signal can provide a new method for monitoring the operating status of and conducting fault diagnoses for hydraulic equipment.
ISSN:2075-4442
2075-4442
DOI:10.3390/lubricants11090406