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GONG Maofa, LIU Yanni, WANG Laihe, ZHANG Chao, HOU Linyua. Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks[J]. Journal of Mine Automation, 2016, 42(7): 50-53. DOI: 10.13272/j.issn.1671-251x.2016.07.012
Citation: GONG Maofa, LIU Yanni, WANG Laihe, ZHANG Chao, HOU Linyua. Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks[J]. Journal of Mine Automation, 2016, 42(7): 50-53. DOI: 10.13272/j.issn.1671-251x.2016.07.012
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Fault diagnosis of mine hoist based on optimizing fuzzy Petri networks

  • College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

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    Abstract
  • 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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    HOU Linyua

    • College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

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