Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN
Data-driven fault diagnosis methods have been widely used in the field of fault diagnosis of rotating machinery components. However, most of the current research methods mainly rely on a large amount of data generated by fixed-length data segmentation. The segmented data is usually a short-period sm...
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| Format: | Article |
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Editorial Office of Journal of Mechanical Transmission
2023-03-01
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| Series: | Jixie chuandong |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.03.016 |
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| author | Zhang Bowen Pang Xinyu Guan Chongyang |
| author_facet | Zhang Bowen Pang Xinyu Guan Chongyang |
| author_sort | Zhang Bowen |
| collection | DOAJ |
| description | Data-driven fault diagnosis methods have been widely used in the field of fault diagnosis of rotating machinery components. However, most of the current research methods mainly rely on a large amount of data generated by fixed-length data segmentation. The segmented data is usually a short-period small segment signal, and the actual long-period redundant signal cannot be directly used as a test sample for fault identification. In view of the above shortcomings, a new fault diagnosis method based on data probability density and one-dimensional convolutional neural network (DPD-1DCNN) is proposed. It has two characteristics: ①the density feature of the extracted signal resists the redundancy of the data; ②adapt redundant signals of different lengths as input to the diagnostic model. The method is verified on the planetary gearbox fault data generated by the DDS test bench, which not only ensures high diagnostic accuracy, but also enhances the adaptability of the diagnostic model. |
| format | Article |
| id | doaj-art-f30ba12dd59e4e9882be3b06c3e46cbe |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2023-03-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-f30ba12dd59e4e9882be3b06c3e46cbe2025-01-10T14:57:13ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392023-03-014711311935810085Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNNZhang BowenPang XinyuGuan ChongyangData-driven fault diagnosis methods have been widely used in the field of fault diagnosis of rotating machinery components. However, most of the current research methods mainly rely on a large amount of data generated by fixed-length data segmentation. The segmented data is usually a short-period small segment signal, and the actual long-period redundant signal cannot be directly used as a test sample for fault identification. In view of the above shortcomings, a new fault diagnosis method based on data probability density and one-dimensional convolutional neural network (DPD-1DCNN) is proposed. It has two characteristics: ①the density feature of the extracted signal resists the redundancy of the data; ②adapt redundant signals of different lengths as input to the diagnostic model. The method is verified on the planetary gearbox fault data generated by the DDS test bench, which not only ensures high diagnostic accuracy, but also enhances the adaptability of the diagnostic model.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.03.016Planetary gearboxData probability density1DCNNFault diagnosis |
| spellingShingle | Zhang Bowen Pang Xinyu Guan Chongyang Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN Jixie chuandong Planetary gearbox Data probability density 1DCNN Fault diagnosis |
| title | Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN |
| title_full | Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN |
| title_fullStr | Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN |
| title_full_unstemmed | Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN |
| title_short | Research on Fault Diagnosis Method of Planetary Gearboxes Based on DPD-1DCNN |
| title_sort | research on fault diagnosis method of planetary gearboxes based on dpd 1dcnn |
| topic | Planetary gearbox Data probability density 1DCNN Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.03.016 |
| work_keys_str_mv | AT zhangbowen researchonfaultdiagnosismethodofplanetarygearboxesbasedondpd1dcnn AT pangxinyu researchonfaultdiagnosismethodofplanetarygearboxesbasedondpd1dcnn AT guanchongyang researchonfaultdiagnosismethodofplanetarygearboxesbasedondpd1dcnn |