Induction motor-fault diagnostic system simulation and analysis

Induction motor faults are diagnosed using Motor Current Signature Analysis (MCSA) since the spectrum of the input stator current signals hold the information of the faults present in the motor. Frequency of the fault signals depend on the slip of the induction motor, thus it depends on the actual speed of the rotating part of the motor. It is efficient to relly on this technique to build a tool for finding the faults. Also this follows the IEEE standards, which are the base of this work. Faults of induction motor are diagnosed at the earliest stage possible since, they are the supreme clients of energy in an industry. Almost 50–60% of the total energy consumption is due to induction motors. This work is focused on a virtual fault simulator and a virtual faault analyzing tool developed using Lab VIEW, analog output and input cards. Real-time validation has not been done since the limitations of this virtual tool have to be rectified. Motor Current Signature Analysis (MMCSA) is suitable method to diagnose most of the faults without any sensors.