机译:An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network
School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China, Chengdu, 611731, China;
School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China, Chengdu, 611731, China|Electrical Power and Machines Engineering Department Tanta University, Tanta, 31511, Egypt;
Sichuan Electric Power Research Institute, Chengdu, 610041, China;
Atomic decomposition algorithm; CNN-AD; Convolutional neural network; Power quality disturbance signals; Sparse representation;