Reversibility in the application of machine current signature analysis in squirrel cage machines

The asynchronous machine is the most popular machine in industry. The paper is about how machine current signature analysis (MCSA) can reliably diagnose faults in squirrel cage motors or generators and determinate if there is any difference in the application of this method when the same machine is working as motor or as generator. This paper focuses on the experimental investigation for incipient fault detection and fault detection methods, suitably adapted for use in squirrel cage machines. The proposed system diagnoses asynchronous machines having three types of faults such as broken rotor bars, short circuit of stator windings and bearing fault when the machine is working as motor and as generator. After processing current data the classical fast Fourier transform is applied to detect characteristics under the healthy and various faulted conditions with MCSA and it has been studied which are the differences.