The Research and Development of Mine Main Fan's On-line Fault Diagnosis Expert System

摘要

In order to diagnose mine fan fault timely, to enhance and improve the level of safety of coal mining enterprises, construct fuzzy expert system based on multiple symptom. The system presents a inference model based on rales and cases, establish fault diagnosis knowledge base of the rules and cases.Using pros and cons mixed reasoning strategy, according to the fault symptom obtained from man-machine conversation, dialogue diagnosis was carried out on the equipment fault.Use the calculation of symptom and rules confidence to produce fault result confidence to screen and order the faults,and export supporting information such as the diagnostic process explanation and maintenance plan and so on,which is convenient for users to understand and carry out various processing.