Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV
Several common elevator malfunctions were diagnosed with a least square support vector machine (LS-SVM). After acquiring vibration signals of various elevator functions, their energy characteristics and time domain indicators were extracted by theoretically analyzing the optimal wavelet packet, in o...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/935038 |
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| _version_ | 1832546764807208960 |
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| author | Zhou Wan Shilin Yi Kun Li Ran Tao Min Gou Xinshi Li Shu Guo |
| author_facet | Zhou Wan Shilin Yi Kun Li Ran Tao Min Gou Xinshi Li Shu Guo |
| author_sort | Zhou Wan |
| collection | DOAJ |
| description | Several common elevator malfunctions were diagnosed with a least square support vector machine (LS-SVM). After acquiring vibration signals of various elevator functions, their energy characteristics and time domain indicators were extracted by theoretically analyzing the optimal wavelet packet, in order to construct a feature vector of malfunctions for identifying causes of the malfunctions as input of LS-SVM. Meanwhile, parameters about LS-SVM were optimized by K-fold cross validation (K-CV). After diagnosing deviated elevator guide rail, deviated shape of guide shoe, abnormal running of tractor, erroneous rope groove of traction sheave, deviated guide wheel, and tension of wire rope, the results suggested that the LS-SVM based on K-CV optimization was one of effective methods for diagnosing elevator malfunctions. |
| format | Article |
| id | doaj-art-c67668aebc5a4158adc69f5f8b784785 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-c67668aebc5a4158adc69f5f8b7847852025-02-03T06:47:23ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/935038935038Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CVZhou Wan0Shilin Yi1Kun Li2Ran Tao3Min Gou4Xinshi Li5Shu Guo6Kunming University of Science and Technology, Kunming, Yunnan 650500, ChinaKunming University of Science and Technology, Kunming, Yunnan 650500, ChinaKunming University of Science and Technology, Kunming, Yunnan 650500, ChinaYunnan Special Equipment Safety Inspection and Research Institute, Kunming, Yunnan, ChinaKunming University of Science and Technology, Kunming, Yunnan 650500, ChinaYunnan Special Equipment Safety Inspection and Research Institute, Kunming, Yunnan, ChinaYunnan Special Equipment Safety Inspection and Research Institute, Kunming, Yunnan, ChinaSeveral common elevator malfunctions were diagnosed with a least square support vector machine (LS-SVM). After acquiring vibration signals of various elevator functions, their energy characteristics and time domain indicators were extracted by theoretically analyzing the optimal wavelet packet, in order to construct a feature vector of malfunctions for identifying causes of the malfunctions as input of LS-SVM. Meanwhile, parameters about LS-SVM were optimized by K-fold cross validation (K-CV). After diagnosing deviated elevator guide rail, deviated shape of guide shoe, abnormal running of tractor, erroneous rope groove of traction sheave, deviated guide wheel, and tension of wire rope, the results suggested that the LS-SVM based on K-CV optimization was one of effective methods for diagnosing elevator malfunctions.http://dx.doi.org/10.1155/2015/935038 |
| spellingShingle | Zhou Wan Shilin Yi Kun Li Ran Tao Min Gou Xinshi Li Shu Guo Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV Journal of Electrical and Computer Engineering |
| title | Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV |
| title_full | Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV |
| title_fullStr | Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV |
| title_full_unstemmed | Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV |
| title_short | Diagnosis of Elevator Faults with LS-SVM Based on Optimization by K-CV |
| title_sort | diagnosis of elevator faults with ls svm based on optimization by k cv |
| url | http://dx.doi.org/10.1155/2015/935038 |
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