ADAPTIVE SYSTEM FOR CONTROLLING TECHNICAL CONDITION WITH MULTIPLE-CURRENT MEASUREMENT PATHS
Abstract
The current stage of development in the methodology for analyzing and synthesizing complex technical systems is characterized by a substantial increase in requirements for their design speed without a loss of functional quality. This is achieved through the application of information technologies for designing complex systems and modeling their operation processes. Within this paradigm, solving the problem of creating adaptive multi-agent systems for monitoring the technical condition of highly critical objects appears relevant. These systems would use a set of varying-accuracy measurement channels for each type of monitored parameter. This will enable the operational selection of a measuring instrument and the formation of the most rational monitoring algorithm, ensuring the required monitoring effectiveness under significant financial constraints. The aim of this work is to substantiate the possibility of using varying-accuracy measurement channels when forming the structure of each technical condition monitoring channel to ensure a given reliability. To achieve this aim, the following tasks were set and successfully solved: – modern conditions for designing technical condition monitoring systems for complex technical systems were considered; constraining factors and trends in design theory development were identified; causes of potential shortcomings in prospective systems and ways to eliminate them were determined;– the form of the system performance criterion was defined as a generalized indicator, obtained based on an additive convolution of unit unconditional monitoring reliability indicators and weight coefficients of their importance; – a structural diagram of an adaptive system was synthesized based on a model of a single-parameter monitoring channel with measurement tracts of different accuracy and the capability to implement known methods for improving monitoring effectiveness; – a computational experiment was conducted, the results of which allowed for refining the identified patterns and proposing new recommendations. The results of the conducted research enabled the development of an adaptive algorithm for monitoring a multi-parameter Object of Control based on a multi-agent system. The behavior of its agents is modeled using retrospective information from previous monitoring cycles, predictive models based on this information, as well as the implementation of the principle of equal reliability and penalty functions in case of deviation from it.
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