Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio
In view of problems that fault signal of centrifugal pump is easily submerged by noise and data analysis is difficult, a wear fault analysis method of centrifugal pump impeller based on multi-source signal fusion was proposed. Three vibration signals of volute, outlet and base of centrifugal pump, a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2018-06-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2018020029 |
| _version_ | 1797868929705574400 |
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| author | GUO Wenqi TIAN Muqin SONG Jiancheng GENG Pulong YAO Yu |
| author_facet | GUO Wenqi TIAN Muqin SONG Jiancheng GENG Pulong YAO Yu |
| author_sort | GUO Wenqi |
| collection | DOAJ |
| description | In view of problems that fault signal of centrifugal pump is easily submerged by noise and data analysis is difficult, a wear fault analysis method of centrifugal pump impeller based on multi-source signal fusion was proposed. Three vibration signals of volute, outlet and base of centrifugal pump, and electrical signals of prime mover terminal are collected when centrifugal pump impeller is in normal condition and wear state. Wavelet packet decomposition is used to extract characteristic frequency bands of the vibration signals, it is determined that the base can be used as the best detection point by laterally comparing energy values of each frequency band, and frequency analysis range is narrowed by longitudinally comparing the energy values of each frequency band. Based on narrowed frequency analysis range, chirp Z transform is used to analyze electrical signals of prime mover terminal and separate fault characteristics frequency and the third harmonic frequency, so as to extract fault characteristic frequency accurately. Test result verifies effectiveness of the method. |
| first_indexed | 2024-04-10T00:04:39Z |
| format | Article |
| id | doaj.art-956962d3c5da47b6a2e884472e24d787 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:04:39Z |
| publishDate | 2018-06-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-956962d3c5da47b6a2e884472e24d7872023-03-17T01:19:37ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2018-06-01446747910.13272/j.issn.1671-251x.2018020029Wear fault analysis of centrifugal pump impeller based on multi-source signal fusioGUO WenqiTIAN MuqinSONG JianchengGENG PulongYAO YuIn view of problems that fault signal of centrifugal pump is easily submerged by noise and data analysis is difficult, a wear fault analysis method of centrifugal pump impeller based on multi-source signal fusion was proposed. Three vibration signals of volute, outlet and base of centrifugal pump, and electrical signals of prime mover terminal are collected when centrifugal pump impeller is in normal condition and wear state. Wavelet packet decomposition is used to extract characteristic frequency bands of the vibration signals, it is determined that the base can be used as the best detection point by laterally comparing energy values of each frequency band, and frequency analysis range is narrowed by longitudinally comparing the energy values of each frequency band. Based on narrowed frequency analysis range, chirp Z transform is used to analyze electrical signals of prime mover terminal and separate fault characteristics frequency and the third harmonic frequency, so as to extract fault characteristic frequency accurately. Test result verifies effectiveness of the method.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2018020029mine main drainagecentrifugal pumpimpeller wearfault characteristics frequencymulti-source signal fusionwavelet packet decompositionchirp z transform |
| spellingShingle | GUO Wenqi TIAN Muqin SONG Jiancheng GENG Pulong YAO Yu Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio Gong-kuang zidonghua mine main drainage centrifugal pump impeller wear fault characteristics frequency multi-source signal fusion wavelet packet decomposition chirp z transform |
| title | Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio |
| title_full | Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio |
| title_fullStr | Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio |
| title_full_unstemmed | Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio |
| title_short | Wear fault analysis of centrifugal pump impeller based on multi-source signal fusio |
| title_sort | wear fault analysis of centrifugal pump impeller based on multi source signal fusio |
| topic | mine main drainage centrifugal pump impeller wear fault characteristics frequency multi-source signal fusion wavelet packet decomposition chirp z transform |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2018020029 |
| work_keys_str_mv | AT guowenqi wearfaultanalysisofcentrifugalpumpimpellerbasedonmultisourcesignalfusio AT tianmuqin wearfaultanalysisofcentrifugalpumpimpellerbasedonmultisourcesignalfusio AT songjiancheng wearfaultanalysisofcentrifugalpumpimpellerbasedonmultisourcesignalfusio AT gengpulong wearfaultanalysisofcentrifugalpumpimpellerbasedonmultisourcesignalfusio AT yaoyu wearfaultanalysisofcentrifugalpumpimpellerbasedonmultisourcesignalfusio |