… and their applications in rotating machinery. For each EFD-… those who study EFD of rotating
machinery. There are three … their applications in fault diagnosis of rotating machinery in this …

… The thermal image-based rotating machinery fault diagnosis method used in this paper also
achieves the final fault diagnosis target by directly processing the thermal images. Therefore…

… in the field of fault diagnosis of rotating machinery. Then, the … performance of rotating
machinery fault diagnosis methods … in the field of rotating machinery fault diagnosis, the current …

… latest fault diagnosis method of rotating machinery … fault identification method of vibration
signal, and summarizes some main research contents of fault diagnosis of rotating machinery at …

… In this paper, a new deep learning method for fault diagnosis of rotating machinery components
is proposed. Residual learning algorithm is adopted, and the deep model is expected to …

… Intelligent machinery fault diagnosis system has been receiving increasing attention … This
paper proposes a novel deep learning method for rotating machinery fault diagnosis. Since …

… most important procedure in the machinery fault diagnosis. When a localized fault, defect, or
… The most prevalent and powerful decomposition in the field of machinery fault diagnosis at …

… results in fault diagnosis. However, the … for fault diagnosis. Therefore, a novel method based
on recurrent neural networks (RNNs) is proposed to identify fault types in rotating machinery …

… citations in this section are limited to papers in the field of rotating machinery fault diagnosis.
… time-frequency analysis of rotating machinery fault diagnosis are divided into three stages …

… a low accuracy of fault diagnosis for nonlinear and non-stationary dynamic signals of rotating
machinery. In this paper, we propose an effective fault diagnosis method based on multi-…