Fault detection and classification of electric vehicle motor drive using ensemble subspace k-nearest neighbour model
An ensemble subspace k-nearest neighbour model for fault detection and classification of switch open-circuit and short-circuit faults and indicates that the proposed model provides an effective and computationally efficient solution for reliable fault diagnosis in electric vehicle motor drive systems.