Content warning: this story includes discussion of self-harm and suicide. If you are in crisis, please call, text or chat with the Suicide and Crisis Lifeline at 988, or contact the Crisis Text Line ...
As semiconductor applications in automotive, data center, and high-performance computing grow increasingly mission-critical, the industry faces mounting pressure to achieve near-perfect manufacturing ...
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 ...
1 State Grid Anhui Electric Power Co., Ltd., Ma’anshan Power Supply Company, Anhui, China 2 State Grid Anhui Electric Power Research Institute, Anhui, China Reliable fault detection is essential for ...
ABSTRACT: Rolling element bearings are commonly used in rotating machines to transmit rotation and power. On the other hand, bearing faults could be the most common reason for machinery imperfections.
Abstract: Protecting microgrids poses significant challenges owing to their diverse operational modes, multiple power infeed sources, variable fault current levels, heterogeneous control strategies, ...
Abstract: Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification ...
The adoption of photovoltaic (PV) systems in modern electrical grids has expanded rapidly due to their economic and environmental benefits. However, these systems are prone to faults—such as partial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results