In recent years, research on the intelligent fault diagnosis of rotating machinery has made
remarkable progress, bringing considerable economic benefits to industrial production …

How to extract the running feature information and realize multi-type faults diagnosis is the
key to carry out intelligent operation and maintenance of energy conversion machinery. The …

This scientific article aims to provide a comprehensive review of fault monitoring, diagnosis,
and prognosis methods based on Artificial Intelligence (AI) for Hydroelectric Generator Units …

Cracks in rotor systems are generated because of internal as well as external heavy loading
conditions. The external loading conditions could be attributed to thermal gradients (such as …

Cybersecurity of Industrial Cyber-Physical Systems is drawing significant concerns as data
communication increasingly leverages wireless networks. A lot of data-driven methods were …

These days, as the application of permanent magnet synchronous machines (PMSMs) and
drive systems becomes popular, the reliability issue of PMSMs gains more and more …

This paper presents the analysis of both stray and air gap magnetic flux measurements
within large hydroelectric generators. The study demonstrates the similarities and …

This work introduces a new condition monitoring approach for complex systems based on a
standardized latent space representation. Latent variable models such as the variational …

The degradation of products is an integral part of their life-cycle, often following predictable
trajectories. However, sudden, unexpected events, termed'shocks', can substantially alter …

In the field of electrical machines maintenance, accurate and timely diagnosis plays a crucial
role in ensuring reliability and efficiency. Variational autoencoder (VAE) techniques have …