APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP
In allusion to the difficulty to obtain fault samples of multi-stage centrifugal pumps in practical engineering, three typical faults containing rubbing, misalignment and unbalance were simulated through the fault simulation test-bed of multi-stage centrifugal pumps. And a fault diagnosis model base...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2024-04-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.02.003 |
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| author | LI YouGen MA WenSheng LI FangZhong WANG QingFeng |
| author_facet | LI YouGen MA WenSheng LI FangZhong WANG QingFeng |
| author_sort | LI YouGen |
| collection | DOAJ |
| description | In allusion to the difficulty to obtain fault samples of multi-stage centrifugal pumps in practical engineering, three typical faults containing rubbing, misalignment and unbalance were simulated through the fault simulation test-bed of multi-stage centrifugal pumps. And a fault diagnosis model based on support vector machine (SVM) was established to realize the classification of three types of faults. High dimensional feature samples were constructed by extracting time-frequeney domain characteristies of vibration signal with ensemble empirical mode decomposition(EEMD). combined with characteristies of time domain, frequeney domain and information entropy. The efficient fault classification was achieved by optimizing the quality of input samples with principal component analysis (PCA). In addition, by comparing the classification effects of SVM and back propagation (BP) neural network, it shows that the SVM model has better classification effect and high applicability in fault diagnosis of multi-stage centrifugal pump. |
| format | Article |
| id | doaj-art-4b1a185c4f1e42aa889d4cddf09254b7 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2024-04-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-4b1a185c4f1e42aa889d4cddf09254b72025-01-15T02:45:24ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692024-04-014627228063929611APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMPLI YouGenMA WenShengLI FangZhongWANG QingFengIn allusion to the difficulty to obtain fault samples of multi-stage centrifugal pumps in practical engineering, three typical faults containing rubbing, misalignment and unbalance were simulated through the fault simulation test-bed of multi-stage centrifugal pumps. And a fault diagnosis model based on support vector machine (SVM) was established to realize the classification of three types of faults. High dimensional feature samples were constructed by extracting time-frequeney domain characteristies of vibration signal with ensemble empirical mode decomposition(EEMD). combined with characteristies of time domain, frequeney domain and information entropy. The efficient fault classification was achieved by optimizing the quality of input samples with principal component analysis (PCA). In addition, by comparing the classification effects of SVM and back propagation (BP) neural network, it shows that the SVM model has better classification effect and high applicability in fault diagnosis of multi-stage centrifugal pump.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.02.003Multi-stage centrifugal pumpSVMBP neural networkEEMDPCA |
| spellingShingle | LI YouGen MA WenSheng LI FangZhong WANG QingFeng APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP Jixie qiangdu Multi-stage centrifugal pump SVM BP neural network EEMD PCA |
| title | APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP |
| title_full | APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP |
| title_fullStr | APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP |
| title_full_unstemmed | APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP |
| title_short | APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP |
| title_sort | application of svm method in fault diagnosis of а multi stage centrifugal pump |
| topic | Multi-stage centrifugal pump SVM BP neural network EEMD PCA |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.02.003 |
| work_keys_str_mv | AT liyougen applicationofsvmmethodinfaultdiagnosisofamultistagecentrifugalpump AT mawensheng applicationofsvmmethodinfaultdiagnosisofamultistagecentrifugalpump AT lifangzhong applicationofsvmmethodinfaultdiagnosisofamultistagecentrifugalpump AT wangqingfeng applicationofsvmmethodinfaultdiagnosisofamultistagecentrifugalpump |