A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes
Convenient and fast fault diagnosis is the key to improving the service safety and maintenance efficiency of gearboxes. However, the environment and working conditions under complex service conditions are variable, and there is a lack of fault samples in engineering applications. These factors lead...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/23/9150 |
| _version_ | 1797462161688100864 |
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| author | Lei Xu Tiantian Wang Jingsong Xie Jinsong Yang Guangjun Gao |
| author_facet | Lei Xu Tiantian Wang Jingsong Xie Jinsong Yang Guangjun Gao |
| author_sort | Lei Xu |
| collection | DOAJ |
| description | Convenient and fast fault diagnosis is the key to improving the service safety and maintenance efficiency of gearboxes. However, the environment and working conditions under complex service conditions are variable, and there is a lack of fault samples in engineering applications. These factors lead to difficulties in intelligent diagnosis methods based on machine learning, while traditional mechanism-based fault diagnosis requires high expertise and long time periods for the manual analysis of data. For the requirements of diagnostic convenience, an automatic fault diagnosis method for gearboxes is proposed in this paper. The method achieves accurate acquisition of rotational speed by constructing a rotational frequency search algorithm. The self-referencing characteristic frequency identification method is proposed to avoid manual signal analysis. On this basis, a framework of anti-interference automatic diagnosis is constructed to realize automatic diagnosis of gear faults. Finally, a gear fault experiment is carried out based on a high-fidelity experimental bench of bogie to verify the effectiveness of the proposed method. The proposed automatic diagnosis method does not rely on a large number of fault samples and avoids the need for diagnosis through professional knowledge, thus saving time for data analysis and promoting the application of fault diagnosis methods. |
| first_indexed | 2024-03-09T17:32:34Z |
| format | Article |
| id | doaj.art-1b87750c7a954fef869d328f6d5a26e9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T17:32:34Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1b87750c7a954fef869d328f6d5a26e92023-11-24T12:09:20ZengMDPI AGSensors1424-82202022-11-012223915010.3390/s22239150A Mechanism-Based Automatic Fault Diagnosis Method for GearboxesLei Xu0Tiantian Wang1Jingsong Xie2Jinsong Yang3Guangjun Gao4School of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaConvenient and fast fault diagnosis is the key to improving the service safety and maintenance efficiency of gearboxes. However, the environment and working conditions under complex service conditions are variable, and there is a lack of fault samples in engineering applications. These factors lead to difficulties in intelligent diagnosis methods based on machine learning, while traditional mechanism-based fault diagnosis requires high expertise and long time periods for the manual analysis of data. For the requirements of diagnostic convenience, an automatic fault diagnosis method for gearboxes is proposed in this paper. The method achieves accurate acquisition of rotational speed by constructing a rotational frequency search algorithm. The self-referencing characteristic frequency identification method is proposed to avoid manual signal analysis. On this basis, a framework of anti-interference automatic diagnosis is constructed to realize automatic diagnosis of gear faults. Finally, a gear fault experiment is carried out based on a high-fidelity experimental bench of bogie to verify the effectiveness of the proposed method. The proposed automatic diagnosis method does not rely on a large number of fault samples and avoids the need for diagnosis through professional knowledge, thus saving time for data analysis and promoting the application of fault diagnosis methods.https://www.mdpi.com/1424-8220/22/23/9150gear faultsrotational frequency search algorithmfault frequency identificationautomatic diagnosis method |
| spellingShingle | Lei Xu Tiantian Wang Jingsong Xie Jinsong Yang Guangjun Gao A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes Sensors gear faults rotational frequency search algorithm fault frequency identification automatic diagnosis method |
| title | A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes |
| title_full | A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes |
| title_fullStr | A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes |
| title_full_unstemmed | A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes |
| title_short | A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes |
| title_sort | mechanism based automatic fault diagnosis method for gearboxes |
| topic | gear faults rotational frequency search algorithm fault frequency identification automatic diagnosis method |
| url | https://www.mdpi.com/1424-8220/22/23/9150 |
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