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

the failure rate of the tank auto-loader is high and the causes of failure are complicated. In order to shorten the fault diagnosis time of the auto-loader and improve the diagnostic accuracy, after analyzing the internal principle of the automatic loading machine and obtaining relevant expert experience, a perception-based Fault diagnosis method for fuzzy Petri nets. Combined with the specific construction of the automatic loader, the corresponding PFPN fault model is established. The fuzzy Petri net is used to represent the fault propagation process. The perceptron error back-transfer method is used to learn the limited expert experience and determine the weight of the trigger event in the Petri network. Through forward reasoning, accurate judgment of the failure of the automatic loader is realized. Reverse reasoning combined with the minimum cut level method reduces the scope of investigation and improves the efficiency of reasoning. By taking the Rotary ammunition loader as an example, the corresponding PFPN fault model is established. By comparing with the fault tree model diagnosis results and historical diagnostic data, the rationality and effectiveness of the fault analysis method are verified.The fault diagnosis of automatic loader is realized quickly and accurately.