Fault Diagnosis Model of Rotating Machinery Based on Artificial Immunity and Its Application

Based on artificial immunity, this paper combines the artificial immune principle and non-dimensional parameters to put forward a rotating machinery fault diagnosis model and algorithm. The algorithm can be used to train the detectors with the unique character of the fault one by one mapping, the trained detector can be applied to a single and complex fault diagnosis; Using the dimensionless parameter relationship of complex fault and single fault, a complex fault diagnosis method has been obtained. The effectiveness of the method has been shown by simulation results.