A machine that experiences constant micro-vibration will eventually suffer from metal fatigue and premature component failure. This results in unscheduled downtime, which represents the highest cost ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

Abstract: This paper focuses on cable fault detection based on Time Domain Reflectometry (TDR). Given that cables are widely used in many fields and are prone to degradation or faults, traditional ...

Abstract: When a cable fault occurs, timely fault location is essential for quickly restoring power supply. Traditional methods such as the bridge method, pulse reflection method, and impact discharge ...