Abstract: Squirrel cage Induction motor is widely used in industries because high efficiency, low cost, and roughest construction. Condition monitoring of induction motor have been a challenging task for the Engineers researchers mainly Industries. This thesis discusses comparative analysis of the fundamental fault in induction motor of PI and wavelet transform analysis. The PI & wavelet transform is considered the most popular fault detection method now a day because it can easy detect the common fault in induction machine such as turn to turn s/c, broken rotor bar, bearing deterioration & open circuit faults etc. The overall problems are subdivided into two key modules, (a) Operation and control, & (b) Fault diagnosis. In this research used the vector control method for speed control. In Induction motor different types of fault are presence and basically divided in to two categories (a) Electrical faults (B) Mechanical faults. There are many condition monitoring methods, including vibration monitoring, thermal monitoring, chemical monitoring, acoustic emission monitoring, but all these monitoring methods required expensive sensors, and specialized tools where current monitoring out of all does not required additional sensors. In asynchronous machine many types of mechanical faults are created like that rotor bar fault, short winding fault, open winding fault, bearing fault, and over load fault. The Discrete Wavelet Transform was used to extract the different harmonics component of stator currents. The key advantage of DWT is local representation (in both Time and frequency domain) of the current signal for normal and faulty modes, and PI controller is provide the variable data by changing the value of Kp and Ki. In these research present two types of faults are consider, a short stator winding fault and another is broken rotor bar fault.
Title: Comparative Analysis between Proportional Integral Controller and Wavelet Controller for the Fault Detection in Induction Motor
Author: Siddharth Ukey
International Journal of Thesis Projects and Dissertations (IJTPD)
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