基于遗传算法的发动机性能监控与故障诊断

利用综合加权法计算表征发动机整体性能的综合指数时，各参数的权系数难于确定。利用遗传算法确定各参数的权系数，使所得到的综合指数值比采用专家调查法所得综合指数值更能灵敏、准确地反映发动机整体性能的变化情况，提高了发动机性能正常与否的识别率，并以此来发现发动机潜在早期故障，防止故障的扩大。通过对某涡扇发动机进行监控，证明该方法确实有效。

Performance monitoring and fault diagnosis of engines based genetic algorithm

According to the problem on calculating the synthetic exponent characterizing the whole performance of 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 genetic algorithm is presented. The synthetic exponent gained by GA is more sensitive and exact than the one gained by the expert investigated method in reflecting the whole performance of the engines. Meanwhile, 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.