METHODOLOGICAL BASES OF ASSESSMENT IN DIAGNOSING THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT
Abstract
Diagnostics of electrical equipment, according to regulations, is a complex and multifactorial process which is regularly carried out at industrial enterprises and is characterized by a wide range of uncertainties related to inaccurate, fuzzy and incomplete initial data, high labor intensity and risk situations. This results in accumulation and growth of various defects, disruption of power supply to industrial enterprises and technological processes, as well as equipment failure.To improve the efficiency of operation and high level of equipment fault tolerance, it is necessary to develop methods, models and means of diagnostics using modern information technologies including methods and technologies of artificial intelligence, taking into account not only quantitative but also qualitative initial information. This paper proposes a systematic approach to the assessment of the technical condition of electrical equipment at the stage of its operation. The approach is aimed at the implementation of system-wide principles, as well as the consideration of this process as an open system, thus making it possible to best organize the decision-making process in the control system. These principles will provide an opportunity to formulate various tasks to assess the technical condition of equipment using information technologies and artificial intelligence technologies, as well as to determine the ways and means of their solution. The authors proposed the structure of a unified complex of EE assessment for intelligent diagnostic systems which sets the sequence of tasks to be solved and the methods and approaches to be used for them. The unified complex will increase the informativeness of decision-making situations and reliability of conclusions about the technical condition of equipment under conditions of incomplete and fuzzy information.
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