Detection and Diagnosis of Induction Motor Faults Based on Artificial Immunity
Introduces negative selection algorithm for detection and diagnosis of induction motor faults.Describes the work state of induction motor by eigenvectors consisted of real numbers.Aiming at the feature of induction motor faults,proposes a novel negative selection algorithm.Improves the generation and training methods of the detectors.Collects the whole of stylebooks from experiment data.The simulation result using measuring data indicates that the detection ratio using this algorithm is superior.