Radar fault diagnosis based on improved chaos genetic algorithm

Based on the research of rough set theory and chaos genetic algorithm, a chaos genetic algorithm based on knowledge dependence is proposed and applied to fault diagnosis of radar. In this algorithm, the binary initial population is restricted by the attribute kernel, and the dependence of the decision attribute to the condition attribute is introduced in the fitness function, and the new design of the crossover probability and mutation probability is proposed, and the new generation of the new generation of individuals is increased. Using the algorithm to diagnose the fault of the radar, the diagnosis rules corresponding to the fault symptoms and fault causes are acquired, and the fault diagnosis system based on fault tree is avoided.