国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the subjective deviation caused by the introduction of expert knowledge and the over-fitting problem caused by the insufficient data in the data-driven method in the traditional flight control system fault diagnosis, proposes the fault diagnosis of the flight control system based on belief rule base reasoning. Based on the existing fault knowledge, the belief rule base for fault diagnosis of flight control system was constructed, and the parameters of the belief rule base were trained by numerical sample optimization learning model using the fault data obtained in the test process. The example shows that the belief rule base trained with a small number of samples can solve the problem that the parameters of the initial belief rule base have subjective deviation, the experimental results proves the method can realize efficient and reliable fault diagnosis of the flight control system.