… approach on cross-load rotating machinery fault diagnosis, and the third one is the application
of proposed approach on cross-machine bearing fault diagnosis. All the algorithms were …

… In this study, a method based on Bayesian estimation is proposed for estimating the IS in the
rotating machinery fault diagnosis. A fast time-varying signal is segmented into several parts…

… in this paper for intelligent fault diagnosis of rotating machinery with better adaptability and
… feature normalization for the fault diagnosis of rotating machinery under noisy environment. …

… This paper describes the development of an improved ResNets model for rotating machinery
fault diagnosis to solve the issues mentioned above. Firstly, a novel multi-scale feature …

… a growing needs in on-line condition monitoring for an efficient diagnosis [5], [6], [7]. In the
field of rotating machinery fault diagnosis, the sound or vibration analysis is a commonly used …

… A few research using GNN for multi-sensor fault diagnosis … in the field of multi-sensor fault
diagnosis. To fill this gap and … ) model for large rotating machinery fault diagnosis. With the …

… Other DL methods for fault diagnosis in rotating machinery. … has detection strategies for
rotating machines which is progressively … and other rotating machines in fault diagnosis prove its …

… fault diagnosis of rotating machinery is still at the initial stage. In order to solve the problem
of end-to-end fault diagnosis… vibration signals and then diagnose faults. The effectiveness of …

… In this paper, a low-delay lightweight recurrent neural network (LLRNN) model for rotating
machinery fault diagnosis is designed based on a JANET cell, and the overall flowchart is …

… diagnosis accuracy, data preprocessing is necessary and crucial in CNN-… fault diagnosis
methods. This review focuses on CNN-based fault diagnosis approaches in rotating machinery. …