In general, unexpected failures in sensorless brushless DC (BLDC) motors can result in
production downtime, costly repairs, and safety concerns. BLDC motors are commonly used …

The motors of the Unmanned Aerial Vehicle are critical parts, especially when used in
applications such as military and defense systems. The fact that the brushless DC (BLDC) …

Early drone anomaly inspection is vital to ensure the drone's safety and effectiveness. This
process is often overlooked, especially by amateur drone pilots; however, some faulty …

Prediction of anomalous behavior in industrial assets based on sensor reading represents a
key focus in modern business practice. As a matter of fact, forecast of forthcoming faults is …

In this article, the authors propose two models for BLDC motor winding temperature
estimation using machine learning methods. For the purposes of the research …

Bearing failures in the industry are a recurring problem that can cause permanent damage
to machines and interrupt production in important sectors of a factory. For this reason, over …

The bearing is the core component which ensures the normal operation of the wind turbine.
The vibration signal based on fault diagnosis is non-linear, non-stationary and causes …

As a potential technology in weak signal detection (WSD), the chaos theory benefits from its
characteristics of the sensitivity to the initial condition and the immunity to the Additive White …

This paper presents a proposed three-step methodology designed to enhance the
performance and efficiency of industrial systems by integrating Digital Twins with particle …

In this article, a fault detection method based on chaos is proposed for doubly fed induction
generator (DFIG). First, the nonlinear differential equation of the DFIG is established by the …