Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm

The manifold learning algorithm is a method of nonlinear data dimensionality reduction and can get available low dimensional geometry,it is also better reflects the nature of things. In order to improve the classification ability of gearbox vibration signals,a new feature extraction method from faul...

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Main Authors: Ma Weijin, Zhang Lin, Zhang Jiping, Huang Bincheng, Luo Chaoyang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2015-01-01
Series:Jixie chuandong
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.08.026
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author Ma Weijin
Zhang Lin
Zhang Jiping
Huang Bincheng
Luo Chaoyang
author_facet Ma Weijin
Zhang Lin
Zhang Jiping
Huang Bincheng
Luo Chaoyang
author_sort Ma Weijin
collection DOAJ
description The manifold learning algorithm is a method of nonlinear data dimensionality reduction and can get available low dimensional geometry,it is also better reflects the nature of things. In order to improve the classification ability of gearbox vibration signals,a new feature extraction method from fault signals of gearbox vibration based on the manifold learning method( MLM) is proposed. The results show that the fault feature information of gearbox vibration can be MLM effectively extracted and the different types of fault feature information can be separated. The diagnostic accuracy of features extracted by MLM is higher than that of the time domain statistical method.
format Article
id doaj-art-56812431137d492a9ff73b2d234c9c8b
institution Kabale University
issn 1004-2539
language zho
publishDate 2015-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-56812431137d492a9ff73b2d234c9c8b2025-01-10T14:05:41ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-013911111429918851Fault Feature Extraction of the Gearbox based on Manifold Learning AlgorithmMa WeijinZhang LinZhang JipingHuang BinchengLuo ChaoyangThe manifold learning algorithm is a method of nonlinear data dimensionality reduction and can get available low dimensional geometry,it is also better reflects the nature of things. In order to improve the classification ability of gearbox vibration signals,a new feature extraction method from fault signals of gearbox vibration based on the manifold learning method( MLM) is proposed. The results show that the fault feature information of gearbox vibration can be MLM effectively extracted and the different types of fault feature information can be separated. The diagnostic accuracy of features extracted by MLM is higher than that of the time domain statistical method.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.08.026
spellingShingle Ma Weijin
Zhang Lin
Zhang Jiping
Huang Bincheng
Luo Chaoyang
Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm
Jixie chuandong
title Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm
title_full Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm
title_fullStr Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm
title_full_unstemmed Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm
title_short Fault Feature Extraction of the Gearbox based on Manifold Learning Algorithm
title_sort fault feature extraction of the gearbox based on manifold learning algorithm
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.08.026
work_keys_str_mv AT maweijin faultfeatureextractionofthegearboxbasedonmanifoldlearningalgorithm
AT zhanglin faultfeatureextractionofthegearboxbasedonmanifoldlearningalgorithm
AT zhangjiping faultfeatureextractionofthegearboxbasedonmanifoldlearningalgorithm
AT huangbincheng faultfeatureextractionofthegearboxbasedonmanifoldlearningalgorithm
AT luochaoyang faultfeatureextractionofthegearboxbasedonmanifoldlearningalgorithm