A Genetic Algorithm-based Solution Search to Fuzzy Logical Inference for Breakdown Causes in Fabric Inspection

This study presents an intelligent diagnosis system consisting of a screening mechanism, which can effectively narrow down the search range for possible breakdown causes, and a search mechanism (based on genetic algorithm), which can help find the solution (i.e., upper boundaries and lower ones) to the inverse fuzzy equation. Through their integration, an intelligent diagnosis system is developed. With the assistance of this system, an operator can find more easily and effectively possible occurred breakdown causes by the observed symptoms during fabric weaving process.