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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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2018-01-01
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Series: | Jixie qiangdu |
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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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format | Article |
id | doaj.art-20424ad3ef534b3aacc1c73660d1f026 |
institution | Directory Open Access Journal |
issn | 1001-9669 |
language | zho |
last_indexed | 2024-03-12T20:44:52Z |
publishDate | 2018-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
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 |