This article gives an overview of the artificial intelligence (AI) applications for power
electronic systems. The three distinctive life-cycle phases, design, control, and maintenance …

Over the past few years, the power electronic converters have gained significant attraction
among researchers, especially as an interface between distributed generation (DG) systems …

Shield tunneling machines are paramount underground engineering equipment and play a
key role in tunnel construction. During the shield construction process, the “mud cake” …

Echo state network (ESN) is a fast recurrent neural network with remarkable generalization
performance for intelligent diagnosis of machinery faults. When dealing with high …

TinyML has the potential to be a huge enabler of smart sensor nodes for fault diagnosis of
machines by embedding powerful machine learning algorithms in low-cost edge devices …

To combine the advantages of both model-driven and data-driven methods, this article
proposes a model-data-hybrid-driven method to diagnose open-switch faults in power …

Bearing fault diagnosis is of great significance to the reliability and stability of modern
petrochemical systems. The existing dimensionless index-based bearing fault diagnosis …

Supervised learning-based methods have been widely used for fault diagnosis of rotating
machinery. The performance of these methods usually relies on the labeled fault samples …

In the modern age of digitalization, electronics are fundamental to any engineering system.
With the current strong focus on the Internet of Things (IoT), autonomous vehicles and …

This article proposes a new end-to-end deep learning model for fault diagnosis using three-
axis vibration signals measured from facilities. The three-axis vibration signals measured in …