Automated diagnostic system using graph clustering algorithm and fuzzy logic method

The paper presents the method of the automated diagnostic system generation using fuzzy logic supported by the graph clustering algorithm. Algorithm of the learning data processing using self-organization method and fuzzy logic module generation are presented. Application of the method for the diagnostics of the analog system (DC motor) is presented and its advantages and disadvantages are considered. Conclusions and future prospects are included.