Applications of Adaptive Genetic Algorithm to Radar Engine Fault Diagnosis

摘要：

According to the problem on calculating the synthetic exponent characterizing the whole performance of radar engine by using the synthetic weighted method, the weights of every parameter are difficult to be determined. To solve this problem, a method of determining the weights of every parameter by adaptive genetic algorithm is presented. The synthetic exponent gained by AGA is more sensitive and exact than the one gained by the expert investigated method in reflecting the whole performance of the engines. Mean while, this method improves the rate of identifying whether the performance of the engine is normal or not, finds the potential forepart fault of engine and prevents the spread of the fault. The validity of the method is testified by monitoring certain type of turbine-fan engine. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation.

关键词： Radar Engine Performance Monitoring Fault Diagnosis Adaptive Genetic Algorithm Crossover Probability Mutation Probability

作者: Zhang Peng Pan Wei Zhu Lina Wang Dezhi

作者单位: Electric Detection Department, Shenyang Artillery Academy, Shenyang 110867, China Fundamental Department, Shenyang Artillery Academy, Shenyang 110867, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 25-29

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）