Research On Mine Hoist Fault Diagnosis In Semantic Environment

Mine hoist is a large and complex system of machine, electric and hydraulic pressure, which is the key equipment in mine safety production. Because of uncertain factors the faults may be multiple failures, associated faults or other complex forms. Therefore, how to resolve the problems of fault diagnosis becomes the most important issue to system maintenance. Then, related application research is carried out and corresponding system is developed in the background of the digital hoist system, the main contents are as following:1. By analyzing the fault pattern and fault transmitting mechanism and fusing semantic knowledge and ontology technology, fault diagnosis model is proposed in semantic environment, which mine hoist fault semantic knowledge system frame is put forward.2. The knowledge describing method of mine hoist fault knowledge is proposed based on Description Logic by analyzing the logic relation between fault symptom and fault causes, and design the logic reasoning.3. An improved fault rules update algorithm is put out in order to enhance the ability of updating and perfecting diagnosis rules in the mine hoist fault semantic knowledge base.4. By analyzing fault knowledge reasoning methods, a hoist fault knowledge reasoning method is proposed based on semantic similarity, which enhances the reasoning ability of the hoist fault semantic knowledge model and takes into account the efficiency and accuracy requirements of the rule matches.5. Mine hoist fault semantic knowledge system is building to solve the critical issues of analyzing, converting and processing the hoist fault knowledge in semantic environment, and it proves that the mine hoist fault semantic knowledge representation and reasoning methods are feasible and effective, and puts forward new ideas and new exploration for hoist fault diagnosis methods.