DCANet:Dense channel attention network based on SimCLR for fault diagnosis of aviation transmission magazine

Aero engines and their accessory subsystems operate under complex operating conditions in a production environment,and usually,the equipment will experience variable acceleration and deceleration.The existing models and methods are limited by many problems,such as network structure and poor feature extraction ability,resulting in low diagnostic accuracy under variable working condition datasets.A Dense channel attention network(DCANet)based on SimCLR is prop…查看全部>>