Fault Feature Extraction of Gear Pitting based on AR-MCKD
Taking the measured gearbox vibration signals as the analysis object,the fault feature of gear pitting is extracted. The Akaike Information Ceriterion（ AIC） is applied to evaluate the optimum Auto- regressive（ AR） model order,and then this AR model is used to pre- process the vibration signals to el...
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| Format: | Article |
| Language: | zho |
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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.1004.2539.2017.03.022 |
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| author | Lü Hongqiang Wu Zhifei Wang Tie Gu Fengshou |
| author_facet | Lü Hongqiang Wu Zhifei Wang Tie Gu Fengshou |
| author_sort | Lü Hongqiang |
| collection | DOAJ |
| description | Taking the measured gearbox vibration signals as the analysis object,the fault feature of gear pitting is extracted. The Akaike Information Ceriterion（ AIC） is applied to evaluate the optimum Auto- regressive（ AR） model order,and then this AR model is used to pre- process the vibration signals to eliminate the linearly predictable stationary part. The Maximum Correlated Kurtosis Deconvolution（ MCKD） is applied to enhance the impact component. The fault characteristic could be identified by analyzing the envelope spectrum.And the AR- MCKD method is applied to analyze the changing trend of the vibration signals. The results proved the efficiency of the AR- MCKD method in the gear fault feature extraction and the changing procedure of the envelope spectrum of gear pitting fault. |
| format | Article |
| id | doaj-art-61f52e9de29c41d699822b7b471d749a |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-61f52e9de29c41d699822b7b471d749a2025-01-10T14:35:48ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014110911329929310Fault Feature Extraction of Gear Pitting based on AR-MCKDLü HongqiangWu ZhifeiWang TieGu FengshouTaking the measured gearbox vibration signals as the analysis object,the fault feature of gear pitting is extracted. The Akaike Information Ceriterion（ AIC） is applied to evaluate the optimum Auto- regressive（ AR） model order,and then this AR model is used to pre- process the vibration signals to eliminate the linearly predictable stationary part. The Maximum Correlated Kurtosis Deconvolution（ MCKD） is applied to enhance the impact component. The fault characteristic could be identified by analyzing the envelope spectrum.And the AR- MCKD method is applied to analyze the changing trend of the vibration signals. The results proved the efficiency of the AR- MCKD method in the gear fault feature extraction and the changing procedure of the envelope spectrum of gear pitting fault.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.03.022Gear fault diagnosisAR modelMaximum correlated kurtosis deconvolutionEnvelope spectrum |
| spellingShingle | Lü Hongqiang Wu Zhifei Wang Tie Gu Fengshou Fault Feature Extraction of Gear Pitting based on AR-MCKD Jixie chuandong Gear fault diagnosis AR model Maximum correlated kurtosis deconvolution Envelope spectrum |
| title | Fault Feature Extraction of Gear Pitting based on AR-MCKD |
| title_full | Fault Feature Extraction of Gear Pitting based on AR-MCKD |
| title_fullStr | Fault Feature Extraction of Gear Pitting based on AR-MCKD |
| title_full_unstemmed | Fault Feature Extraction of Gear Pitting based on AR-MCKD |
| title_short | Fault Feature Extraction of Gear Pitting based on AR-MCKD |
| title_sort | fault feature extraction of gear pitting based on ar mckd |
| topic | Gear fault diagnosis AR model Maximum correlated kurtosis deconvolution Envelope spectrum |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.03.022 |
| work_keys_str_mv | AT luhongqiang faultfeatureextractionofgearpittingbasedonarmckd AT wuzhifei faultfeatureextractionofgearpittingbasedonarmckd AT wangtie faultfeatureextractionofgearpittingbasedonarmckd AT gufengshou faultfeatureextractionofgearpittingbasedonarmckd |