Improved Genetic Algorithm and Neural Network in Turbogenerator Vibration Fault Diagnosis
Genetic algorithm is an optimized combinatorial algorithm simulating natural evolution.It is a method of parameters' searching based on genetics.Aiming at turbogenerator vibration fault diagnosis system of many symptoms, many faults,method of adopting improved GA and RJBF neural network to identify fault modes is studied. Emulation result indicates that this method has a remarkable applicatory value for turbogenerator vibration fault diagnosis.