Fault Diagnosis Expert System of Continuous Miner Hydraulic System

摘要：

　　In order to fine working states of a continuous miner hydraulic system,diagnose quickly and effectively its faults,reduce failure rate,save maintenance time and improve the reliability and productivity of a continuous miner,the GA-PSO hybrid optimization method of fuzzy neural network is used in fault diagnosis of a continuous miner hydraulic system in the paper,a intelligent fault diagnosis expert system of a hydraulic system is designed by means of taking VC 6.0 as the programming platform,using SQL SERVER 2000 as database,embedding MATLAB7.1 in the intemal.The system is simple in man-machine interface and good in man-machine conversation,capable of analyzing accurately and judging properly failures of a continuous miner hydraulic system.

关键词： Continuous miner hydraulic system neural network fault diagnosis expert system

作者: Xiaohuo Li Renpeng Tang Yongdong Sha Shuaiwi Bai Jinghui Zhang

作者单位: Mechanical Engineering College of Liaoning Technical University, Fuxin, China 123000 Sany Heavy Equipment Co.Ltd., Shenyang, China 110027

会议类型: 国际会议

会议名称: The First International Workshop on Hydraulic Equipment and Support Systems for Mining (第一届液压技术与矿山装备国际研讨会(IWHEM2012))

会议地点: 辽宁葫芦岛

会议语种:英文

页码: 463-466

在线出版日期: 2012-08-07（万方平台首次上网日期，不代表论文的发表时间）