… explored their information fusion in rotating machinery fault diagnosis, they show limited
per… Experiment results demonstrate that the proposed method has promising fault diagnosis …

… In summary, rotating machinery fault diagnosis is an engineering problem traditionally …
features from raw vibration signals for fault diagnosis of rotating machinery. This goal has been …

… algorithm is proposed for early fault diagnosis of rotating machinery. First, sigmoid function
is developed to the generalized form to improve the fault representation ability of the objective …

… rotating machinery are major concerns in industry. The task of condition monitoring and fault
diagnosis of rotating machinery faults … reliably diagnosing rotating machinery faults. Various …

… a deep network architecture for rotating machinery fault diagnosis. To overcome the
limitations of applying a Transformer and achieve highly accurate fault diagnosis, we establish a …

… This research focuses on the development of an intelligent diagnostic system for rotating
machinery. The system is composed of a signal processing module and a state inference …

… , fault tracing and life prediction of rotating machinery system. … the fault diagnosis problem of
rotating machinery and … LSTM RNN based fault diagnosis method in rotating machinery. The …

… In this paper, a new neural network (NN) for fault diagnosis of rotating machinery which …
, and more suitable than original ART for fault diagnosis of machinery. In order to test the …

… researchers 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 …

… fault diagnosis. In this case, this paper proposes a lightweight convolutional neural network
(LCNN) method for intelligent fault diagnosis of rotating machinery, … intelligent fault diagnosis …