The intelligent diagnosis system of development trend of intelligent diagnosis system application has achieved remarkable results in the equipment inspection and failure analysis of mine hoist, along with the continuous development of on-line monitoring technology and signal processing technology, modern technology, intelligent diagnosis system has also been gradually optimization. In recent years, the related workers started to pay attention to and out of the running state of the different working environment, all kinds of equipment failure mode diagnosis of the system. Toward the beginning of more advanced and perfect the development direction of diagnostic system of mine hoist.
The establishment of diagnosis system based on mixed model. With the traditional diagnosis system based on rules is compared, the system based on the hybrid model combines rule based on function, even based on the form of artificial neural network, a full range, multi depth of reasoning of engineering system, and adopt different methods in different stages of diagnosis, improve accuracy of fault identification equipment. Realization of real time diagnosis. Real time diagnosis emphasis on data processing and diagnosis reasoning online. Since the diagnosis speed determines the fault development in many cases, the system should own decisions within a limited period of time, or the existence of operating conditions may problems given the equipment problem, while seeking a logical diagnosis to diagnosis software, reasonable structure, execute classification process of reasoning, as far as possible to increase the speed of processing, in order to play the online processing technology advantage. Realization of remote service. Because the repair personnel technology and site conditions and constraints, it is difficult to find some fault timely treatment, so it must be the implementation of remote fault diagnosis, the fault information is connected via a communication line fault diagnosis system and the upper computer, the diagnosis system can automatically start the online fault intelligent diagnosis procedures, through analysis, comparison, determine the diagnosis conclusion again, the diagnosis conclusion and processing feedback field. The fault information is connected via a communication line fault diagnosis system and host computer
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