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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Bibliographic Details
Main Authors: Zhou Wan, Shilin Yi, Kun Li, Ran Tao, Min Gou, Xinshi Li, Shu Guo
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2015/935038
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