Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function

A projection image analysis method for the fault diagnosis of rolling bearing based on Intrinsic Mode Function( IMF) is proposed,the status recognition and the degree of recognition of the rolling bearing fault is realized. The main contents are as follow. Firstly,the Empirical Mode Decomposition me...

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Main Author: Huang Xuemei
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2017-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.04.005
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author Huang Xuemei
author_facet Huang Xuemei
author_sort Huang Xuemei
collection DOAJ
description A projection image analysis method for the fault diagnosis of rolling bearing based on Intrinsic Mode Function( IMF) is proposed,the status recognition and the degree of recognition of the rolling bearing fault is realized. The main contents are as follow. Firstly,the Empirical Mode Decomposition method( EMD)is used to obtain IMF. Secondly,the time-frequency three-dimensional gray-scale projection image of each IMF is established. The texture feature of Gray Level Co-occurrence Matrix( GLCM) is also introduced to analyze the three-dimensional projection image. Finally,the feature dimension is compressed and combined based on the principal component analysis. The Support Vector Machine( SVM) is used to realize the fault diagnosis of rolling bearing. Both fault diagnosis and degree identification of rolling bearing is realized through a perspective of image characteristics. A new method based on projection image of characteristics calculation in vibration signal is given in this study.
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spelling doaj.art-744a28bb859147b28904ab76935ccb4e2023-05-26T09:44:31ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-0141192329929990Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode FunctionHuang XuemeiA projection image analysis method for the fault diagnosis of rolling bearing based on Intrinsic Mode Function( IMF) is proposed,the status recognition and the degree of recognition of the rolling bearing fault is realized. The main contents are as follow. Firstly,the Empirical Mode Decomposition method( EMD)is used to obtain IMF. Secondly,the time-frequency three-dimensional gray-scale projection image of each IMF is established. The texture feature of Gray Level Co-occurrence Matrix( GLCM) is also introduced to analyze the three-dimensional projection image. Finally,the feature dimension is compressed and combined based on the principal component analysis. The Support Vector Machine( SVM) is used to realize the fault diagnosis of rolling bearing. Both fault diagnosis and degree identification of rolling bearing is realized through a perspective of image characteristics. A new method based on projection image of characteristics calculation in vibration signal is given in this study.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.04.005Fault diagnosis;Gray level co-occurrence matrix;Empirical mode decomposition;Projected image
spellingShingle Huang Xuemei
Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function
Jixie chuandong
Fault diagnosis;Gray level co-occurrence matrix;Empirical mode decomposition;Projected image
title Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function
title_full Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function
title_fullStr Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function
title_full_unstemmed Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function
title_short Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function
title_sort research of fault diagnosis method of rolling bearing based on projection image analysis of intrinsic mode function
topic Fault diagnosis;Gray level co-occurrence matrix;Empirical mode decomposition;Projected image
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.04.005
work_keys_str_mv AT huangxuemei researchoffaultdiagnosismethodofrollingbearingbasedonprojectionimageanalysisofintrinsicmodefunction