… 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. …

… a novel fuzzy fusion method for rotating machinery fault diagnosis. In this method, firstly, …
introduced into rotating machinery fault diagnosis to improve diagnostic performance and …

… to realize the rapid diagnosis of rotating machinery faults by designing the corresponding …
In Section 3, the overall mechanical fault diagnosis system is illustrated in detail. In Section 4…

… typical symptom of localized faults of rotating machinery. It is … realizing the fault diagnosis of
rotating machinery. Variational … is proposed for the fault diagnosis of rotating machinery. The …

… This study focuses on rotating machinery fault diagnosis with limited data; practical
problems with an MMD-based regulation term are difficult. The sliced Wasserstein distance has …

… work related to fault diagnosis in rotating machines, mainly exploring a single type of fault. …
focuses more on the “multi-fault diagnosis” aspect of rotating machines is lacking. There is a …

… (EMDM), for enhanced fault diagnosis of rotating machines. The major contribution is that
the new method nonlinearly and adaptively fuses the fault-related modes containing different …

… In this section, comprehensive experiments on two representative rotating machinery
faults are conducted to demonstrate the efficiency, superiority as well as practical value of our …

… In order to overcome them, a dynamic graph-based feature learning with few edges considering
noisy samples is proposed for rotating machinery fault diagnosis in this article. Noisy …