基于故障树和神经网络模型的提升机故障诊断专家系统

search on Fault Diagnostic Expert System for Mine Hoist Based onFault Tree and Neural Network

根据提升机故障源多、诊断复杂的特点,提出了可提高设备使用率、运行可靠安全的故障诊断专家系统。

<abstract>cording to the fault characteristics of the mine hoist, a proper intelligent fault diagnostic expert system is proposed, the paper presents a fault diagnostic method based on fault tree and neural network model. The knowledge representation adopts the shallow and deep knowledge integrated technology, and it is also based upon fault tree and is based on integrating of frame, rule, neural as well. The inference engine is built in forward and backward combined reasoning strategy, and depth-first searching theory. It is proved by practice that the expert system can increase the safety, reliability and efficiency of the mine hoist efficiently.