A Portuguese research team has compared several applied machine learning techniques to perform fault detection in air-to-air heat pumps in cooling mode and has identified four algorithms showing a ...

Photovoltaic (PV) systems have emerged as a cornerstone of sustainable energy generation worldwide. Their performance reliability and longevity depend on advanced operation, maintenance, and fault ...

In today's industries, quality inspection in semiconductor manufacturing is critical. Many traditional fault detection and diagnosis techniques have been developed to determine the existence of trends ...

If predictions come true that renewable energy sources like solar panels and wind generators are the primary suppliers of tomorrow’s power grids, then the engineers maintaining those grids will need ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Researchers at the Industrial Tribology Laboratory have published detailed research on battery health management in the prestigious Energy Storage and Saving journal. Their research thoroughly ...

Members can download this article in PDF format. High-voltage systems serve applications ranging from renewable-energy generation to industrial motor control. Such systems require precise control to ...

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...