A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps
Condition monitoring has been an active area of research in many industrial fields during the last decades, particularly in fluid power systems. This paper presents a solution for the fault diagnosis of a variable displacement axial-piston pump, which is a critical component in many hydraulic system...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/7/1874 |
| _version_ | 1798024597476474880 |
|---|---|
| author | Paolo Casoli Andrea Bedotti Federico Campanini Mirko Pastori |
| author_facet | Paolo Casoli Andrea Bedotti Federico Campanini Mirko Pastori |
| author_sort | Paolo Casoli |
| collection | DOAJ |
| description | Condition monitoring has been an active area of research in many industrial fields during the last decades, particularly in fluid power systems. This paper presents a solution for the fault diagnosis of a variable displacement axial-piston pump, which is a critical component in many hydraulic systems. The proposed methodology follows a data-driven approach including data acquisition and feature extraction and is based on the analysis of acceleration signals through the theory of cyclostationarity. An experimental campaign was carried out on a laboratory test bench with the pump in the flawless state and in faulty states. Different operating conditions were considered and each test was repeated several times in order to acquire a suitable population to verify data repeatability. Results showed the capability of the proposed approach of detecting a typical fault related to worn slippers. Future works will include tests in order to apply the approach to a wider set of faults and the development of a classifier for accurate fault identification. |
| first_indexed | 2024-04-11T18:05:09Z |
| format | Article |
| id | doaj.art-4d03545bf4e346ba9e2440e9e4986fec |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:05:09Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4d03545bf4e346ba9e2440e9e4986fec2022-12-22T04:10:20ZengMDPI AGEnergies1996-10732018-07-01117187410.3390/en11071874en11071874A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston PumpsPaolo Casoli0Andrea Bedotti1Federico Campanini2Mirko Pastori3Department of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyCondition monitoring has been an active area of research in many industrial fields during the last decades, particularly in fluid power systems. This paper presents a solution for the fault diagnosis of a variable displacement axial-piston pump, which is a critical component in many hydraulic systems. The proposed methodology follows a data-driven approach including data acquisition and feature extraction and is based on the analysis of acceleration signals through the theory of cyclostationarity. An experimental campaign was carried out on a laboratory test bench with the pump in the flawless state and in faulty states. Different operating conditions were considered and each test was repeated several times in order to acquire a suitable population to verify data repeatability. Results showed the capability of the proposed approach of detecting a typical fault related to worn slippers. Future works will include tests in order to apply the approach to a wider set of faults and the development of a classifier for accurate fault identification.http://www.mdpi.com/1996-1073/11/7/1874fault detectionhydraulic pumpsvibrationcondition monitoringcyclostationarity analysis |
| spellingShingle | Paolo Casoli Andrea Bedotti Federico Campanini Mirko Pastori A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps Energies fault detection hydraulic pumps vibration condition monitoring cyclostationarity analysis |
| title | A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps |
| title_full | A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps |
| title_fullStr | A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps |
| title_full_unstemmed | A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps |
| title_short | A Methodology Based on Cyclostationary Analysis for Fault Detection of Hydraulic Axial Piston Pumps |
| title_sort | methodology based on cyclostationary analysis for fault detection of hydraulic axial piston pumps |
| topic | fault detection hydraulic pumps vibration condition monitoring cyclostationarity analysis |
| url | http://www.mdpi.com/1996-1073/11/7/1874 |
| work_keys_str_mv | AT paolocasoli amethodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT andreabedotti amethodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT federicocampanini amethodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT mirkopastori amethodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT paolocasoli methodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT andreabedotti methodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT federicocampanini methodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps AT mirkopastori methodologybasedoncyclostationaryanalysisforfaultdetectionofhydraulicaxialpistonpumps |