Abstract
The paper presents an intelligent system for the servicing of a complex technical object with the use of an artificial neural network and expert system. Also, a general diagram of the complex technical object was presented, and its internal structure was described. A diagnostic analysis was conducted, as a result of which sets of the functional elements of the object and its diagnostic signals were determined. Also, the methodology of the diagnostic examination of the technical system was presented. The result was a functional and diagnostic model, which constituted the basis for initial diagnostic information, which is provided by the sets of information concerning the elements of the basic modules and their output signals. The present article covers a description and the structure of an automatic adjustment and control of the value of the qualitative operational function of a technical object. The elements of the adjustment system were characterized and described including the system of comparison and the system of adjustment. The qualitative operational function of a technical object being the target (object) of control and adjustment was described and defined. The adjustment system presented concerns special technical objects, which are characterized by a short time of their repairs. The organization of the maintenance system is carried out on the basis of information from an artificial neural network.
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Duer, S. Applications of an artificial intelligence for servicing of a technical object. Neural Comput & Applic 22, 955–968 (2013). https://doi.org/10.1007/s00521-011-0788-y
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DOI: https://doi.org/10.1007/s00521-011-0788-y