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题名: Time Series Analysis UsingComposite Multiscale Entropy
作者: Shuen-De Wu
Chiu-Wen Wu
Shiou-Gwo Lin
Chun-Chieh Wang
Kung-Yen Lee
贡献者: 國立臺灣海洋大學:通訊與導航工程學系
关键词: composite multiscale entropy
fault diagnosis
multiscale entropy
日期: 2013
上传时间: 2017-02-06T03:17:18Z
出版者: Entropy
摘要: Abstract: Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the statistical reliability of the sample entropy (SampEn) of a coarse-grained series is reduced as a time scale factor is increased. Therefore, in this paper, the concept of a composite multiscale entropy (CMSE) is introduced to overcome this difficulty. Simulation results on both white noise and 1/f noise show that the CMSE provides higher entropy reliablity than the MSE approach for large time scale factors. On real data analysis, both the MSE and CMSE are applied to extract features from fault bearing vibration signals. Experimental results demonstrate that the proposed CMSE-based feature extractor provides higher separability than the MSE-based feature extractor. View Full-Text
關聯: 15(3)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40660
显示于类别:[通訊與導航工程學系] 期刊論文

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