… To improve the accuracy of mechanical fault diagnosis in the case of the small sample,
this article proposes an intelligent fault diagnosis method based on MGPGANs in Fig. 3. The …

… Since intelligent fault diagnosis in the small & imbalanced … first level was restricted to intelligent
fault diagnosis. For S&I-IFD, … For example, in [70], a diagnosis scheme based on VAE and …

… To address the above limitations, this work proposes an intelligent fault diagnosis scheme
based on supervised domain adaptation with manifold embedding and key features selection. …

… Motivated by the idea of TL, a new intelligent fault diagnosis scheme named deep
transfer network with joint distribution adaptation was exploited to overcome the applicability …

… in the field of fault diagnosis of hydropower units. In this work, CNN is applied to the fault
diagnosis of hydropower units, and the purpose of identifying the fault status of hydropower …

… fault diagnosis scheme named two-stage transfer adversarial network (TSTAN) is proposed
for rotating machinery. The adversarial learning strategy is adopted to separate known …

… Most existing intelligent approaches, on the other hand, have a flaw: … fault detection is
presented in this study to encourage the effective implementation of intelligent fault diagnosis. This …

… In this paper, we propose an intelligent fault diagnosis scheme utilizing ReliefF for feature
preselection and BPSO for synchronous feature reselection and SVM parameters optimization. …

… We propose NSAE-LCN for intelligent fault diagnosis. It incorporates the processes of feature
extraction and fault recognition into a general-purpose learning procedure. Therefore, the …

… purpose is to develop various fault diagnosis methods to monitor the … Typical fault diagnosis
methods mainly include time–… strong support for application of intelligent fault diagnosis. …