MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW

The feed forward neural network is used to predict the bearing life distribution in this paper,and puts forward the maintenance decision model based on the maintenance window. The mean and variance of the bearing life distribution are predicted by using neural network,and the life distribution of th...

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Main Authors: ZHANG Xin, ZHAO JianMin, NI XiangLong, LI HaiPing
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2018-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.01.008
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author ZHANG Xin
ZHAO JianMin
NI XiangLong
LI HaiPing
author_facet ZHANG Xin
ZHAO JianMin
NI XiangLong
LI HaiPing
author_sort ZHANG Xin
collection DOAJ
description The feed forward neural network is used to predict the bearing life distribution in this paper,and puts forward the maintenance decision model based on the maintenance window. The mean and variance of the bearing life distribution are predicted by using neural network,and the life distribution of the bearing is obtained. A maintenance decision model based on the maintenance window is proposed and compared with the threshold value maintenance model. The relationship between different maintenance window position and optimal maintenance point is analyzed. The model is verified by using the data of the whole life of bearing,it is concluded that the maintenance decision model based on the maintenance window is better than the threshold limit maintenance window is better than the threshold limit maintenance model in a certain time interval by calculate the maintenance cost rate of the two models.
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spelling doaj.art-20424ad3ef534b3aacc1c73660d1f0262023-08-01T07:46:21ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-0140454930600928MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOWZHANG XinZHAO JianMinNI XiangLongLI HaiPingThe feed forward neural network is used to predict the bearing life distribution in this paper,and puts forward the maintenance decision model based on the maintenance window. The mean and variance of the bearing life distribution are predicted by using neural network,and the life distribution of the bearing is obtained. A maintenance decision model based on the maintenance window is proposed and compared with the threshold value maintenance model. The relationship between different maintenance window position and optimal maintenance point is analyzed. The model is verified by using the data of the whole life of bearing,it is concluded that the maintenance decision model based on the maintenance window is better than the threshold limit maintenance window is better than the threshold limit maintenance model in a certain time interval by calculate the maintenance cost rate of the two models.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.01.008Roller bearing;Feed forward neural network;Prediction;Maintenance window
spellingShingle ZHANG Xin
ZHAO JianMin
NI XiangLong
LI HaiPing
MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW
Jixie qiangdu
Roller bearing;Feed forward neural network;Prediction;Maintenance window
title MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW
title_full MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW
title_fullStr MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW
title_full_unstemmed MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW
title_short MODELING OF BEARING MAINTENANCE BASED ON NEURAL NETWORK AND MAINTENANCE WINDOW
title_sort modeling of bearing maintenance based on neural network and maintenance window
topic Roller bearing;Feed forward neural network;Prediction;Maintenance window
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.01.008
work_keys_str_mv AT zhangxin modelingofbearingmaintenancebasedonneuralnetworkandmaintenancewindow
AT zhaojianmin modelingofbearingmaintenancebasedonneuralnetworkandmaintenancewindow
AT nixianglong modelingofbearingmaintenancebasedonneuralnetworkandmaintenancewindow
AT lihaiping modelingofbearingmaintenancebasedonneuralnetworkandmaintenancewindow