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...

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Main Authors: GONG Maofa, LIU Yanni, WANG Laihe, ZHANG Chao, HOU Linyua
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2016-07-01
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.
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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