Yanshan University Reports Findings in Networks (Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism)

摘要

By a News Reporter-Staff News Editor at Network Daily News - New research on Networks is the subject of a report. According to news reporting from Qinhuangdao, People’s Republic of China, by NewsRx journalists, research stated, “As a domain adaptation method, the domain-adversarial neural network (DANN) can utilize the adversarial learning of the feature extractor and domain discriminator to extract the domain-invariant features, thus realizing fault identification of rolling bearings. In the crossdomain diagnosis of rolling bearing faults, how to obtain fault-related discriminative domain-invariant features from the noisy signals is a key to improving the diagnostic result.”