Feature Frequency Extraction Algorithm based on PCA and MK-MOMEDA and Its Application

Feature Frequency Extraction Algorithm based on PCA and MK-MOMEDA and Its Application

Aiming at the problem of extracting characteristic frequency of flexible thin-walled bearings，a feature frequency extraction algorithm combining principal component analysis （PCA） and multi-point optimally adjusted minimum entropy deconvolution （MOMEDA） is proposed. In the algorithm，PCA is used to p...

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Bibliographic Details
Main Authors:	Jiawei Zheng, Qihong Liu, Weiguang Li, Xuezhi Zhao, Guochen Li
Format:	Article
Language:	zho
Published:	Editorial Office of Journal of Mechanical Transmission 2020-01-01
Series:	Jixie chuandong
Subjects:	PCA;MOMEDA;Multipoint kurtosis;Feature frequency extraction
Online Access:	http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.12.024

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