Base on Hybrid Reasoning Mechanism Fans of Coal Fault Diagnosis Expert System

摘要：

It is necessary guarantee that timely diagnosis of fans of coal fault is for mine safety production in enterprises. To establish fans of coal fault diagnosis expert system is a kind of effective way for improving fans fault diagnosis. The roughness set is applied to fans fault expert system for knowledge; this way can improve the objectivity of mining knowledge, which to establish effectively fans fault diagnosis rules. The reasoning machine adopts the mixed reasoning mechanism which is based rules and examples, consequently achieved the function of expert system to self-learning and self-improvement. After Fans of Coal Fault Diagnosis Expert System is put in to use, the operation and maintenance of fans is significantly improved.

关键词： Fault Diagnosis Expert System Fan of Coal

作者: Li Meng Wang Cong Bai Xinli

作者单位: School of Mechanical and Information engineering,China University of Mining and Technology (Beijing),Beijing 100083 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）