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

In order to realize the intelligent diagnosis and classification of mechanical failure of portal crane gearbox, the automatic diagnosis and classification model of mechanical failure of portal crane gearbox is constructed by using long-term and short-term memory network. Firstly, a data acquisition system based on labview is designed and used to collect the composite fault data of portal crane, and a data set is established based on the gearbox fault data published by Southeast University. Then the data is preprocessed by data enhancement method, and then the mechanical fault diagnosis model of portal crane gearbox is constructed by using long-term and short-term memory neural network. Finally, the diagnostic classification accuracy of the model is verified by the test data set. The results show that the diagnostic model can automatically diagnose and classify the mechanical faults of the portal crane gearbox quickly and accurately, and the diagnostic classification accuracy is 96.8%. Compared with the traditional diagnostic classification model based on CNN, the accuracy is improved by 4.1%, which lays a theoretical foundation for the development and application of portable intelligent diagnostic instruments in the next step.