The expert diagnostic system of the reasons for dangerous microdefects in cable insulation

Introduction. In the article the diagnostics problem of the reasons for dangerous microdefects in cable insulation is considered. This issue is very actual, since the quality of electrical insulation had a direct effect on reliability and safety of the whole product. To identify and address the causes of dangerous microdefects companies have installed a quality management system, whose work based on cyclic mechanisms and linked to economic costs caused by technological experiments. In this the experience and qualifications of personnel, analyzing incoming information, are very important. The complexity of the analysis is to lack of unequivocal correlation between values of quality indicators and causes of microdefects, resulting in regulatory mistakes of technological process are formed. Aim. The development of the expert system for decision support in diagnosis of cause for dangerous microdefects in cable insulation. Materials and methods. The task of diagnosis can be represented as a fuzzy classification task or pattern recognition. To solve it we developed the expert system, accumulating an experience of high-level specialists from leading industry enterprises. Main components of this system are fuzzy inference machine and knowledge base. Inference technique is based on Mamdani algorithm with additional elements for the task. The knowledge base and membership functions are developed only for power cross-linked polyethylene cables for rated voltages from 6 up to and including 35 kV. Output of expert system is a fuzzy pattern of possible causes for dangerous microdefects. Results. According to the results of testing by using our developed system experimentation costs were reduced by 24 %. Conclusion. Thus, our system has enabled to reduce number of errors in diagnosis of cause for dangerous microdefects in cable insulation, increase the level of technological process automation and enhance the effectiveness of the quality management system.