Abstract
Developing a non-invasive condition monitoring method for a squirrel cage induction machine and its fault diagnosis is the objective of this paper. Several signals can be used to monitor the Induction Machines (IMs) such as power input, stator voltage, and stator current. In this research a new processing signal is developed as an auxiliary winding voltage. The auxiliary winding is considered as a small coil inserting between the stator phases. This approach is based on a Lissajous curve of the auxiliary winding voltage Park component. First, the squirrel cage induction motor is mathematically modeled by considering the real geometry of the rotor structure. After that, the auxiliary winding voltage expression and its Park component are presented. In order to verify the proposed approach effectiveness, the simulation has been carried out in MATLAB for non-defected motor and motor with different load level. The results have confirmed the capability of this method to detect failures.
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