Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks
In order to improve accuracy of fault diagnosis of mine hoist, a new fault diagnosis method of mine hoist based on optimizing fuzzy Petri networks was proposed. Firstly, momentum BP network was used to optimize weights, thresholds and reliability parameters of the fuzzy Petri networks, and then the...
Main Authors: | , , , , |
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Format: | Article |
Language: | zho |
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Editorial Department of Industry and Mine Automation
2016-07-01
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Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.07.012 |
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author | GONG Maofa LIU Yanni WANG Laihe ZHANG Chao HOU Linyua |
author_facet | GONG Maofa LIU Yanni WANG Laihe ZHANG Chao HOU Linyua |
author_sort | GONG Maofa |
collection | DOAJ |
description | In order to improve accuracy of fault diagnosis of mine hoist, a new fault diagnosis method of mine hoist based on optimizing fuzzy Petri networks was proposed. Firstly, momentum BP network was used to optimize weights, thresholds and reliability parameters of the fuzzy Petri networks, and then the optimal fuzzy Petri networks model was used for fault diagnosis of mine hoist. The test results show that the method has fast convergence rate of parameter and high accuracy of fault diagnosis of mine hoist, which has a certain practical value. |
first_indexed | 2024-04-10T00:02:04Z |
format | Article |
id | doaj.art-3a91af7c96644b5ea88a45b14cd57345 |
institution | Directory Open Access Journal |
issn | 1671-251X |
language | zho |
last_indexed | 2024-04-10T00:02:04Z |
publishDate | 2016-07-01 |
publisher | Editorial Department of Industry and Mine Automation |
record_format | Article |
series | Gong-kuang zidonghua |
spelling | doaj.art-3a91af7c96644b5ea88a45b14cd573452023-03-17T01:41:55ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2016-07-01427505310.13272/j.issn.1671-251x.2016.07.012Fault diagnosis of mine hoist based on optimizing fuzzy Petri networksGONG MaofaLIU YanniWANG LaiheZHANG ChaoHOU LinyuaIn order to improve accuracy of fault diagnosis of mine hoist, a new fault diagnosis method of mine hoist based on optimizing fuzzy Petri networks was proposed. Firstly, momentum BP network was used to optimize weights, thresholds and reliability parameters of the fuzzy Petri networks, and then the optimal fuzzy Petri networks model was used for fault diagnosis of mine hoist. The test results show that the method has fast convergence rate of parameter and high accuracy of fault diagnosis of mine hoist, which has a certain practical value.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.07.012mine hoistfault diagnosisfuzzy petri networksmomentum bp networks |
spellingShingle | GONG Maofa LIU Yanni WANG Laihe ZHANG Chao HOU Linyua Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks Gong-kuang zidonghua mine hoist fault diagnosis fuzzy petri networks momentum bp networks |
title | Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks |
title_full | Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks |
title_fullStr | Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks |
title_full_unstemmed | Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks |
title_short | Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks |
title_sort | fault diagnosis of mine hoist based on optimizing fuzzy petri networks |
topic | mine hoist fault diagnosis fuzzy petri networks momentum bp networks |
url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.07.012 |
work_keys_str_mv | AT gongmaofa faultdiagnosisofminehoistbasedonoptimizingfuzzypetrinetworks AT liuyanni faultdiagnosisofminehoistbasedonoptimizingfuzzypetrinetworks AT wanglaihe faultdiagnosisofminehoistbasedonoptimizingfuzzypetrinetworks AT zhangchao faultdiagnosisofminehoistbasedonoptimizingfuzzypetrinetworks AT houlinyua faultdiagnosisofminehoistbasedonoptimizingfuzzypetrinetworks |