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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Lubricants |
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| Online Access: | https://www.mdpi.com/2075-4442/11/9/406 |
| _version_ | 1797579082526883840 |
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| author | Jiamin Liu Shuai Meng Xintao Zhou Lichen Gu |
| author_facet | Jiamin Liu Shuai Meng Xintao Zhou Lichen Gu |
| author_sort | Jiamin Liu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:31:54Z |
| format | Article |
| id | doaj.art-47dac01ac57346509c011396c3288a2a |
| institution | Directory Open Access Journal |
| issn | 2075-4442 |
| language | English |
| last_indexed | 2024-03-10T22:31:54Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Lubricants |
| spelling | doaj.art-47dac01ac57346509c011396c3288a2a2023-11-19T11:40:03ZengMDPI AGLubricants2075-44422023-09-0111940610.3390/lubricants11090406A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary ConditionsJiamin Liu0Shuai Meng1Xintao Zhou2Lichen Gu3School of Mechanical Engineering, Shaanxi Polytechnic Institute, Xianyang 712000, ChinaSchool of Communication Engineering, Shaanxi Post and Telecommunication College, Xianyang 712000, ChinaSchool of Mechanical Engineering, Shaanxi Polytechnic Institute, Xianyang 712000, ChinaSchool of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaDue 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.https://www.mdpi.com/2075-4442/11/9/406fault diagnosispiston pumpinstantaneous angular speednon-stationary |
| spellingShingle | Jiamin Liu Shuai Meng Xintao Zhou Lichen Gu A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions Lubricants fault diagnosis piston pump instantaneous angular speed non-stationary |
| title | A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions |
| title_full | A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions |
| title_fullStr | A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions |
| title_full_unstemmed | A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions |
| title_short | A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions |
| title_sort | hydraulic axial piston pump fault diagnosis based on instantaneous angular speed under non stationary conditions |
| topic | fault diagnosis piston pump instantaneous angular speed non-stationary |
| url | https://www.mdpi.com/2075-4442/11/9/406 |
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