This document discusses condition monitoring of induction motors using motor current signature analysis based on artificial neural networks. It describes various faults that can occur in induction motors like bearing faults and broken rotor bars. Motor current signature analysis is used to detect faults by analyzing the harmonic components in the motor's current spectrum. An artificial neural network can be trained to identify fault patterns in current signatures to predict and locate faults. The neural network is used to detect and locate faults on the stator windings of an induction motor based on its current signature analysis.