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INTELLIGENT METHOD OF SYSTEM STATE RECOGNITION IN TECHNICAL DIAGNOSTIC
Abstract
Technical diagnostics is a science discipline that provides sufficient scope for different scientific methods and approaches. Objects of technical diagnostics are simpler or more complex technical devices. The purpose of technical diagnostics is to provide a sufficiently accurate estimate of the state of the technical equipment, which is of importance in their maintenance. In this regard, some modern sophisticated methods, based on artificial intelligence, are offered. A system approach is of major importance in technical diagnostics. This paper discusses the possibilities and uses of the vector quantization method. For this method, there is an important state space of the system or vector metric space. In literature, it is ranked among neural network methods. This method allows, based on the measurement of an appropriate set of status variables of the device to recognize the state closest to it from the previously defined possible states. In this way, the recognized status of the device can be linked to the corresponding maintenance operation and effective control. The proposed method is based on the continuous evaluation of the measured variables classified into the appropriate class.
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