Research On Health Diagnosis For Mine Hoister Based On Information Fusion

Mine hoister is the most vital equipment in mine, the production capacity of entire mine have closed relation with its runtime quality. Once mine hoister works abnormally, equipments will be damaged, even cause heavy casualties. Therefore, it's very important to make real time monitor and health diagnosis for hoist.Mine hoister is electromechanical equipment, consisting of electronic control device, motor and transmission mechanism etc, due to complexity of its structure, it's difficult to health diagnosis, using single feature information and diagnosis method is unable to make accurate diagnosis. According to this, information fusion technology is applied to health diagnosis for the mine hoister in this paper. It mainly introduces the method of using evidence theory to the status identification, and it is particular analyzed by an example. As a classic method of obtaining probability assignment functions, in the course of obtaining basic probability assignment functions according to the object types, the ascertaining of correlation coefficient is very complex, in order to solve the problem, the method is improved in this paper. Comparing of the analytical result of the two methods before and after improvement indicates that it is easier to obtain basic probability assignment functions according to the improved method, and the diagnosis efficiency is markedly improved.On the basis of this, health diagnosis system for mine hoister based on information fusion is developed by using LabVIEW. In this system, it is convenient to know the running status of mine hoister intuitively, promptly monitoring mine hoister and judging whether declining of work quality is present, eliminating the potential problems, the process and result of health diagnosis for mine hoister demonstrates practicality and diagnosis highly effective of the system.