Fault Diagnosis Based on Fuzzy Relation Matrix and Recognition

摘要

This paper discusses the application of fuzzy logic to fault diagnosis and supervision where the emphasis is placed upon knowledge expression and approximate reasoning. The probabilities of faults are expressed as fuzzy numbers, and complexfault-symptom relations are represented with a fuzzy relation matrix whose elements are obtained by fault tree and Bayes Rule. Upon these relations the fuzzy recognition reasoning is accomplished, which can list all faults whose possibilities of causingthe occurring symptoms are greater than a certain threshold. The algorithm was applied to the communication subsystem of a traffic control system, and promoting results were reported.