… performance of deep learning comes with challenges and costs. This paper presents a
review of deep learning challenges related to machinery fault detection and diagnosis systems. …

… on DL-based intelligent fault diagnosis for rotating machinery. Based on deep learning
models, this paper divides existing research into five categories: deep belief networks (DBN), …

… in machinery field. Therefore, this review will focus the efforts on fault diagnosis of rotating
machinery. It will place an emphasis on fault diagnosis integrated with deep neural network …

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

… learning, is mainly applied to the feature extraction of 2D and 3D image sequences [14,15]. …
have introduced deep learning into the fault diagnosis of rotating machinery equipment [16,…

… is applied to identify and classify the severity of faults in a rotating machine for different … 3
presents the deep learning and CNN concepts, and the proposed method for fault detection in …

… These new developments of machinery fault diagnosis have … of machinery fault diagnosis
based on machine learning … in shallow machine learning in machinery fault diagnosis, …

… We researched deep learning in the machinery fault diagnostics, by using different techniques
such as sparse self-coding based on information fusion for bearing condition monitoring […

… Deep learning represents an attractive option to process mechanical big data for machinery
fault diagnosis… to validate the deep learning based bearing fault diagnostic technique. Fig. 5 …

… Effective diagnosis of these failures is essential in order to enhance reliability and reduce …
manufacturing equipment. As a result, research on fault diagnosis of manufacturing machines …