Fault diagnosis of mine hoist deceleration system based on fuzzy Petri net
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摘要: 针对现有矿井提升机故障诊断方法存在诊断过程复杂且模型不直观,不能全面体现矿井提升机故障的模糊性和传递性问题，提出了一种基于模糊Petri网的矿井提升机减速系统故障诊断方法。该方法通过建立提升机故障的模糊Petri网模型，利用与其对应的递推状态方程，结合矩阵运算，找出系统中的故障可能性模糊值排序，按照故障可能性排序依次进行故障排查。该方法可以同时兼顾故障的传递性和模糊性，且模型清晰，结构直观，可以快速找出故障原因，有效提高矿井提升机减速系统故障诊断的效率。实例分析结果证明了该方法的可行性。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.
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