Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis
The operation of gearbox is under a varied working condition with the change of speed and load,and the vibration signal is non-linear and multi-components,so it’ s difficult to realization of gearbox fault diagnose in varied working condition. Firstly,The original vibration signal interpolated by un...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2017-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.11.028 |
| _version_ | 1797819218427641856 |
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| author | Wu Yang Hao Rujiang |
| author_facet | Wu Yang Hao Rujiang |
| author_sort | Wu Yang |
| collection | DOAJ |
| description | The operation of gearbox is under a varied working condition with the change of speed and load,and the vibration signal is non-linear and multi-components,so it’ s difficult to realization of gearbox fault diagnose in varied working condition. Firstly,The original vibration signal interpolated by uniform angle re-sampling time through order tracking based on numerical differentiation,which transforms non-stationary vibration signals into angle domain stationary signal. Subsequently,the shock component,harmonic component and noise component are separated from angular domain stationary signal through morphological component analysis（MCA）,which can extract the fault feature from non-linear and multi-component signal in gearbox.Then,the angle domain averaging of shock component highlight the fault characteristic. Finally,by using instantaneous power spectrum（IPS） to identify failure of gearbox. The experimental results show that,using this method,the distribution of IPS in domain of angle and order can identify gear faults,and further testing the method also apply to gearbox fault diagnose under the condition of variable condition. |
| first_indexed | 2024-03-13T09:20:43Z |
| format | Article |
| id | doaj.art-e9fddfc83ef04a2ea8a746f83b64e49d |
| institution | Directory Open Access Journal |
| issn | 1004-2539 |
| language | zho |
| last_indexed | 2024-03-13T09:20:43Z |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj.art-e9fddfc83ef04a2ea8a746f83b64e49d2023-05-26T09:46:25ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014114214729933184Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component AnalysisWu YangHao RujiangThe operation of gearbox is under a varied working condition with the change of speed and load,and the vibration signal is non-linear and multi-components,so it’ s difficult to realization of gearbox fault diagnose in varied working condition. Firstly,The original vibration signal interpolated by uniform angle re-sampling time through order tracking based on numerical differentiation,which transforms non-stationary vibration signals into angle domain stationary signal. Subsequently,the shock component,harmonic component and noise component are separated from angular domain stationary signal through morphological component analysis（MCA）,which can extract the fault feature from non-linear and multi-component signal in gearbox.Then,the angle domain averaging of shock component highlight the fault characteristic. Finally,by using instantaneous power spectrum（IPS） to identify failure of gearbox. The experimental results show that,using this method,the distribution of IPS in domain of angle and order can identify gear faults,and further testing the method also apply to gearbox fault diagnose under the condition of variable condition.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.11.028MCA;Varied working condition;IPS;Order tracking;Gearbox fault diagnose |
| spellingShingle | Wu Yang Hao Rujiang Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis Jixie chuandong MCA;Varied working condition;IPS;Order tracking;Gearbox fault diagnose |
| title | Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis |
| title_full | Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis |
| title_fullStr | Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis |
| title_full_unstemmed | Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis |
| title_short | Study on the Fault Diagnose of Gearbox Under Varied Working Condition based on Morphological Component Analysis |
| title_sort | study on the fault diagnose of gearbox under varied working condition based on morphological component analysis |
| topic | MCA;Varied working condition;IPS;Order tracking;Gearbox fault diagnose |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.11.028 |
| work_keys_str_mv | AT wuyang studyonthefaultdiagnoseofgearboxundervariedworkingconditionbasedonmorphologicalcomponentanalysis AT haorujiang studyonthefaultdiagnoseofgearboxundervariedworkingconditionbasedonmorphologicalcomponentanalysis |