Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery
Torsional vibration of rotating machinery is one of the main factors affecting the reliability and service life of rotaing machinery. In recent years, the number of large units accidents caused by torsional vibration is increasing. Therefore, how to detect torsional vibration has become a major focu...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2021-12-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2034 |
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| author | GUO Yan-ling QIU Feng LI Zhi-peng |
| author_facet | GUO Yan-ling QIU Feng LI Zhi-peng |
| author_sort | GUO Yan-ling |
| collection | DOAJ |
| description | Torsional vibration of rotating machinery is one of the main factors affecting the reliability and service life of rotaing machinery. In recent years, the number of large units accidents caused by torsional vibration is increasing. Therefore, how to detect torsional vibration has become a major focus in the machinery increasing.The process of torsional vibration of detection method can be divided into two steps: the measurement of torsional vibration signals and the extraction and analysis of torsional vibration signal. The measurement methods of torsional vibration signal are divided into contact measurement method and non-contact measurement method. The extraction and analysis methods of torsional vibration signal are divided into Fourier transform method and signal decomposition method. We introduce each method of these methods, espound in detail the woking principle, reaserch significance, practical application, advantages and disadvantages of each methods, and finally forecast the development trend of these methods. It is expected to provide some reference and guidance for the future research on torsional vibration detection methods of rotating machinery |
| format | Article |
| id | doaj-art-19011d034fee4e5aa8d7f46a1d9b7bbf |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2021-12-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-19011d034fee4e5aa8d7f46a1d9b7bbf2025-08-20T03:58:08ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832021-12-012606475410.15938/j.jhust.2021.06.007Research Status and Prospect of Torsional Vibration Detection Methods for Rotating MachineryGUO Yan-ling0QIU Feng1LI Zhi-peng2School of Electromechanic Engineering, Northeast Forestry University, Harbin 150040, ChinaSchool of Electromechanic Engineering, Northeast Forestry University, Harbin 150040, ChinaSchool of Electromechanic Engineering, Northeast Forestry University, Harbin 150040, ChinaTorsional vibration of rotating machinery is one of the main factors affecting the reliability and service life of rotaing machinery. In recent years, the number of large units accidents caused by torsional vibration is increasing. Therefore, how to detect torsional vibration has become a major focus in the machinery increasing.The process of torsional vibration of detection method can be divided into two steps: the measurement of torsional vibration signals and the extraction and analysis of torsional vibration signal. The measurement methods of torsional vibration signal are divided into contact measurement method and non-contact measurement method. The extraction and analysis methods of torsional vibration signal are divided into Fourier transform method and signal decomposition method. We introduce each method of these methods, espound in detail the woking principle, reaserch significance, practical application, advantages and disadvantages of each methods, and finally forecast the development trend of these methods. It is expected to provide some reference and guidance for the future research on torsional vibration detection methods of rotating machineryhttps://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2034rotating machinerytorsional vibrationsignal measurementsignal extraction analysisdevelopment trenddetection method |
| spellingShingle | GUO Yan-ling QIU Feng LI Zhi-peng Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery Journal of Harbin University of Science and Technology rotating machinery torsional vibration signal measurement signal extraction analysis development trend detection method |
| title | Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery |
| title_full | Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery |
| title_fullStr | Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery |
| title_full_unstemmed | Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery |
| title_short | Research Status and Prospect of Torsional Vibration Detection Methods for Rotating Machinery |
| title_sort | research status and prospect of torsional vibration detection methods for rotating machinery |
| topic | rotating machinery torsional vibration signal measurement signal extraction analysis development trend detection method |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2034 |
| work_keys_str_mv | AT guoyanling researchstatusandprospectoftorsionalvibrationdetectionmethodsforrotatingmachinery AT qiufeng researchstatusandprospectoftorsionalvibrationdetectionmethodsforrotatingmachinery AT lizhipeng researchstatusandprospectoftorsionalvibrationdetectionmethodsforrotatingmachinery |