An application of genetic algorithm and fuzzy logic for the induction motor diagnosis

The aim of this paper is the diagnosis of signatures of rotor broken bars when the induction machine is fed by an unbalanced line voltage. These signatures are given by the complex spectrum modulus of the line current. In order to make the diagnostic, a genetic algorithm is used to keep the amplitude of all faulty lines. Moreover, the fuzzy logic approach allows us to conclude to the load level operating system as to inform the operator of the rotor fault severity. Experimental results proof the performance of this method under various load levels and various fault severities. The conclusion resulting from this study is highlighted and proves the efficiency of the suggested approach.