ОПТИМИЗАЦИЯ ПРОФИЛАКТИЧЕСКИХ ДОПУСКОВ В СЛОЖНЫХ ТЕХНИЧЕСКИХ СИСТЕМАХ

Abstract

Currently, monitoring the technical condition of complex technical systems, such as electrical equipment of communication equipment, is a long and non-automated process that is carried out by operators directly at the control objects themselves. This circumstance has a negative impact on the timely detection of failures of the controlled object. One of the most difficult to detect is phasing out. For timely detection of the fact of its occurrence, it is necessary to create a control system that works in a permanent mode with pre-entered preventive tolerances. The purpose of the work is to develop a proposal for the formation of the optimal value of the preventive tolerance of the controlled parameter for detecting the fact of gradual failure and determining its probabilistic characteristics, taking into account the reservation of measurement channels. Methods used: detection of gradual failures is random and the best results are obtained using methods of statistical decision theory, the use of which assumes the presence of complete a priori information about the probability distributions of the output values of the controlled parameters. The novelty of the work is to increase the reliability and accuracy of monitoring the technical condition of complex technical objects to ensure their reliability by reserving measurement channels, which allows you to increase the accuracy of detecting gradual failure of the controlled object by optimizing the value of preventive tolerances. Result: the use of cost-effective redundancy of measurement channels, as well as the use of preventive tolerances, allows more accurate assessment of the technical condition of the control object and make a conclusion about the probability of gradual failure. Optimization of the threshold of preventive admission allows you to minimize the probability of making an erroneous decision. Practical significance: the results of the work can be used in the process of monitoring the technical condition of complex technical systems, which will avoid accidents.