id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-5639	Zhen, Chenggang; Liu, Min	Fault Diagnosis of Wind Turbine Rolling Bearing Based on VMD-SG-ResNet	2023	6	.pdf	application/pdf	3293	177	53	After that, the denoised components and other components are reconstructed to form denoised signal data, and then these data are converted into two-dimensional grayscale images, which are input into the ResNet model for training, and the model with optimal parameters is obtained through the training data set, and the test set data is input into the model for testing. Fault diagnosis method of rolling bearing based on VMD-IMDE-PNN [J].	cache/ajst-5639.pdf	txt/ajst-5639.txt