Power swing detection and fault management remain critical components for ensuring the reliability and stability of modern power systems. Power swings, characterised by oscillations in power flow ...

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 ...

3E’s study found average PV plant performance to be 97%. Image: Lightsource BP. With solar operations and maintenance experiencing significant price pressure, adequate fault detection that occurs as ...

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

Chipmakers are relying on machine learning for electroplating and wafer cleaning at leading-edge process nodes, augmenting traditional fault detection/classification and statistical process control in ...

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW solar ...