Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Electric motors act as the backbone of industrial development. Their reliable and safe
operation is essential to various industries. At present, motor fault diagnosis based on …

Intelligent fault diagnosis has been increasingly improved with the evolution of deep
learning (DL) approaches. Recently, the emerging graph neural networks (GNNs) have also …

As one of the most promising techniques, magnetic flux-based condition monitoring of
electrical machines, has gained significant traction in the past decade. One of the key …

Induction motors (IMs) are used extensively as driving actuators in electric vehicles. Motor
rotors are prone to defects in the die casting procedure, which can significantly reduce the …

Instantaneous rotation speed (IRS) estimation is desirable in a wide range of industrial fields
for health assessment and system control of mechanical machinery. In this article, a low-cost …

In intelligent factories, multiple industrial cameras capture continuous videos and upload
them to edge nodes for automatic preinspection. For reliability, video chunks with low …

This paper focuses on the impact of porosity on the reliability and structural robustness of
Induction Machines used in high-precision applications. The proposed method investigates …

CYBER-physical systems (CPS) are complex entities formed by physical objects with
embedded computing and communication capabilities. Communication networks of different …