Abstrait

Genetically Tuned Interval Type-2 Fuzzy Logic for Fault Diagnosis of Induction Motor

Anant G. Kulkarni, Dr. M. F. Qureshi, Dr. Manoj Jha

This paper presents study of tune Fuzzy based Fault Diagnosis Model of Induction Motor using GA. Interval Type-2 Fuzzy Logic Controller (IT2FLC) where the fuzzy parameters, e.g. Fuzzy Membership Functions and Fuzzy Rule Bases are tuned by Genetic Algorithm (GAs) known as Genetic Interval Type2 Fuzzy System (GIT2FS). The GFS are discussed briefly, later, the proposed design is explained. This is referred as Knowledge Base Tuning using Genetic Algorithm for Interval Type-2 Fuzzy based Fault Diagnosis Model of Induction Motor.