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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