Degradation Assessment of the Rolling Bearing Performance based on AR-FCM

The rolling bearing is one of the most important and easiest faulty components in rotating machinery. If the performance of rolling bearing can be monitored and evaluated in real-time,the maintenance strategy can be completed in time. The autoregressive( AR) model is set up and the autoregressive co...

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Main Authors: Zhou Jianmin, Guo Huijuan, Zhang Long
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.1004.2539.2017.12.015
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author Zhou Jianmin
Guo Huijuan
Zhang Long
author_facet Zhou Jianmin
Guo Huijuan
Zhang Long
author_sort Zhou Jianmin
collection DOAJ
description The rolling bearing is one of the most important and easiest faulty components in rotating machinery. If the performance of rolling bearing can be monitored and evaluated in real-time,the maintenance strategy can be completed in time. The autoregressive( AR) model is set up and the autoregressive coefficients and residuals of the early failure-free signal and the failure signal with the same type and the same position of bearing failure are extracted. The fuzzy C-means( FCM) is established by using the early failure-free features and the failure characteristics of the same bearing. The normal and failure cluster center are got. The test data are put into the FCM model by keeping the model invariant and continuously iterating,and the performance degradation index is obtained. Then the empirical model decomposition and Hilbert envelope demodulation are used to verify the conclusions. The experimental results show that the presented performance degradation method is consistent with the results obtained from the accelerated fatigue test.
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spelling doaj.art-e5206dde34124832a37a17925fb4de912023-05-26T09:46:51ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-0141737629933872Degradation Assessment of the Rolling Bearing Performance based on AR-FCMZhou JianminGuo HuijuanZhang LongThe rolling bearing is one of the most important and easiest faulty components in rotating machinery. If the performance of rolling bearing can be monitored and evaluated in real-time,the maintenance strategy can be completed in time. The autoregressive( AR) model is set up and the autoregressive coefficients and residuals of the early failure-free signal and the failure signal with the same type and the same position of bearing failure are extracted. The fuzzy C-means( FCM) is established by using the early failure-free features and the failure characteristics of the same bearing. The normal and failure cluster center are got. The test data are put into the FCM model by keeping the model invariant and continuously iterating,and the performance degradation index is obtained. Then the empirical model decomposition and Hilbert envelope demodulation are used to verify the conclusions. The experimental results show that the presented performance degradation method is consistent with the results obtained from the accelerated fatigue test.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.12.015AR model;FCM model;Rolling bearing;Degradation assessment;Hilbert envelope demodulation
spellingShingle Zhou Jianmin
Guo Huijuan
Zhang Long
Degradation Assessment of the Rolling Bearing Performance based on AR-FCM
Jixie chuandong
AR model;FCM model;Rolling bearing;Degradation assessment;Hilbert envelope demodulation
title Degradation Assessment of the Rolling Bearing Performance based on AR-FCM
title_full Degradation Assessment of the Rolling Bearing Performance based on AR-FCM
title_fullStr Degradation Assessment of the Rolling Bearing Performance based on AR-FCM
title_full_unstemmed Degradation Assessment of the Rolling Bearing Performance based on AR-FCM
title_short Degradation Assessment of the Rolling Bearing Performance based on AR-FCM
title_sort degradation assessment of the rolling bearing performance based on ar fcm
topic AR model;FCM model;Rolling bearing;Degradation assessment;Hilbert envelope demodulation
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.12.015
work_keys_str_mv AT zhoujianmin degradationassessmentoftherollingbearingperformancebasedonarfcm
AT guohuijuan degradationassessmentoftherollingbearingperformancebasedonarfcm
AT zhanglong degradationassessmentoftherollingbearingperformancebasedonarfcm