高瓦斯矿井双局扇系统故障诊断方法的研究

Study of Method of Fault Diagnosis of Double Local-fans System in High-gas Mine

针对现有故障诊断方法及其局限性,文章提出了基于粗糙集神经网络的故障诊断专家系统模型,并将该模型应用于高瓦斯矿井双局扇系统的故障诊断中。重点阐述了基于粗糙集神经网络的高瓦斯矿井双局扇故障诊断专家系统的结构及各功能模块的设计,讨论了知识获取模块和神经网络知识库等关键技术,最后详细给出了系统的仿真结果。

Aiming at the existing method of fault diagnosis and its limitations, a model of expert system of fault diagnosis based on rough set and neural network was put forward in the paper, which was used to diagnose fault of double local-fans system in high-gas mine. The structure and the design of each functional model of the expert system of fault diagnosis of double local-fans in high-gas mine based on rough set and neural net.work were introduced stressly. The key technologies of the model of knowledge acquirement and repository of neural network were discussed, and the simulation result of the system was given in detail.