... and the Wavelet Transform, on the extraction of fault-related information and the subsequent performance of Deep Neural Networks (DNNs) in classifying inter-turn faults. Design/Methodology/Approach The study uses a quantitative mixed-method approach, combining field-circuit modeling with experimental...

... fluctuations and using a physical optics simulation to generate data sets. Design/methodology/approach The approach involves several supervised machine learning and classification methods, including traditional algorithms and a deep neural network classifier. It uses histogram-based definitions of the RCS...