Electric vehicle (EV) is crucial for future transportation which will improve fuel economy and
contributes toward the reduction of emissions. EVs are becoming an increasingly integrated …

Induction motors (IMs) are the workhorse of the industry and are subjected to a harsh
environment. Due to their operating conditions, they are exposed to different kinds of …

Existing regularization methods have been proven effective in the ill-posed problem of
moving force identification (MFI). However, both the constant and time-varying components …

Purpose This paper proposes a Low-Frequency Adaptation-Deep Neural Network (LFA-
DNN) architecture for the classification of shaft imbalance in rotatory machinery. Additionally …

Induction motor (IM) plays a major role in industry. Despite of its strong structure, IMs are
often prone to faults. There are different types of faults which occur in induction motors such …