Related Posts With Tag

Dr. Mohammad Hamed Samimi


The result of the research of researchers from the College of engineering at the University of Tehran:

Increasing the accuracy of partial discharge location in power plant generators using artificial intelligence

Researchers at the School of Electrical and Computer Engineering of the College of Engineering have developed models based on deep learning to present a new method for accurately locating partial discharges and predicting their apparent charge levels in the stator windings of generators; an achievement that can play an effective role in monitoring the condition of power plant equipment, reducing repair costs, and preventing serious failures in power generation systems.

Read More