A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography
A novel systematic framework, infrared thermography- (IRT-) based method, for rotating machinery fault diagnosis under nonstationary running conditions is presented in this paper. In this framework, IRT technique is first applied to obtain the thermograph. Then, the fault features are extracted usin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/2619252 |
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| author | Yongbo Li Xianzhi Wang Shubin Si Xiaoqiang Du |
| author_facet | Yongbo Li Xianzhi Wang Shubin Si Xiaoqiang Du |
| author_sort | Yongbo Li |
| collection | DOAJ |
| description | A novel systematic framework, infrared thermography- (IRT-) based method, for rotating machinery fault diagnosis under nonstationary running conditions is presented in this paper. In this framework, IRT technique is first applied to obtain the thermograph. Then, the fault features are extracted using bag-of-visual-word (BoVW) from the IRT images. In the end, support vector machine (SVM) is utilized to automatically identify the fault patterns of rotating machinery. The effectiveness of proposed method is evaluated using lab experimental signal of rotating machinery. The diagnosis results show that the IRT-based method has certain advantages in classification rotating machinery faults under nonstationary running conditions compared with the traditional vibration-based method. |
| format | Article |
| id | doaj-art-584d1cf13b86456c8b4877bde40b2db1 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-584d1cf13b86456c8b4877bde40b2db12025-02-03T06:12:35ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/26192522619252A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared ThermographyYongbo Li0Xianzhi Wang1Shubin Si2Xiaoqiang Du3MIIT Key Laboratory of Dynamics and Control of Complex Systems, School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaA novel systematic framework, infrared thermography- (IRT-) based method, for rotating machinery fault diagnosis under nonstationary running conditions is presented in this paper. In this framework, IRT technique is first applied to obtain the thermograph. Then, the fault features are extracted using bag-of-visual-word (BoVW) from the IRT images. In the end, support vector machine (SVM) is utilized to automatically identify the fault patterns of rotating machinery. The effectiveness of proposed method is evaluated using lab experimental signal of rotating machinery. The diagnosis results show that the IRT-based method has certain advantages in classification rotating machinery faults under nonstationary running conditions compared with the traditional vibration-based method.http://dx.doi.org/10.1155/2019/2619252 |
| spellingShingle | Yongbo Li Xianzhi Wang Shubin Si Xiaoqiang Du A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography Complexity |
| title | A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography |
| title_full | A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography |
| title_fullStr | A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography |
| title_full_unstemmed | A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography |
| title_short | A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography |
| title_sort | new intelligent fault diagnosis method of rotating machinery under varying speed conditions using infrared thermography |
| url | http://dx.doi.org/10.1155/2019/2619252 |
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