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- Title
基于模糊Petri网的矿井提升机减速系统故障诊断.
- Authors
孟宪刚; 于晓; 李晓静
- Abstract
In view of problems that the diagnosis process of existing fault diagnosis methods of mine hoist is complicated and its model is not intuitive, which cannot fully reflect the fuzziness and transitivity of fault of mine hoist, a fault diagnosis method of mine hoist deceleration system based on fuzzy Petri net was proposed. The fuzzy Petri net model of hoist fault was established, and corresponding recursive state equation was used to find out sorting of fault probability fuzzy value in the system combining with the matrix operation, and fault troubleshooting can be performed according to the sorting of the fault probability. The method can simultaneously consider the transitivity and fuzziness of the fault with clear model and the intuitive structure, it can quickly find out cause of the fault and effectively improve efficiency of fault diagnosis of mine hoist deceleration system. The example analysis results prove feasibility of the method.
- Publication
Journal of Mine Automation, 2019, Vol 45, Issue 6, p91
- ISSN
1671-251X
- Publication type
Article
- DOI
10.13272/j.issn.1671-251x.2018120059