Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

The extraction of the optimal mode of the bearing signal in the drive system of a corn
harvester is a challenging task. In addition, the accuracy and robustness of the fault …

Recent advances in sensor technology and computing capabilities have enabled the
creation of data-driven models that can support real-time decision making. Such a decision …

We describe DeepMachining, a deep learning-based AI system for online prediction of
machining errors of lathe machine operations. We have built and evaluated DeepMachining …

Early fault detection in brushless direct current (BLDC) motors used in electric vehicles is
crucial for ensuring the reliability, safety, and performance of the vehicle. Cost-effective fault …

This comprehensive review article delves into the intricate realm of fault-tolerant control
(FTC) schemes tailored for robotic manipulators. Our exploration spans the historical …

As a crucial component in servo motors, rolling bearings are susceptible to malfunctioning,
and the diagnosis of bearing faults is imperative to guarantee the dependable operation of …

Although the applications of artificial intelligence especially deep learning had greatly
improved various aspects of intelligent manufacturing, they still face challenges for wide …

This article presents a comprehensive review of control approaches for industrial robotic
manipulators, focusing on research conducted from 2020 onwards. The efficient functioning …