Aiming at multi-signs, multi-fault turbine diagnosis system, the combination of IAGA and RBFNN that applied to fault pattern recognition is studied.

• 文章针对多征兆、多故障的汽轮发电机组的故障诊断系统，对采用改进后的自适应遗传算法(AGA)和RBF径向基函数神经网络相结合进行故障模式识别的方法进行研究；