Wednesday, 4 March 2015

FAULT DETECTION AND DIAGNOSIS OF THREE PHASE INDUCTION MOTOR USING WAVELET TRANSFORM



C.Samyraj 1, V.Kannan 2, Dr.M.Santhi 3

1PG student- Department of EEE – Sethu Institute of Technology, Kariapatti, Tamilnadu, India.
2Assistant Professor - Department of EEE – Sethu Institute of Technology, Kariapatti, Tamilnadu, India.
3 Associate Professor - Department of EEE – Sethu Institute of Technology, Kariapatti, Tamilnadu, India.
 The present demand in the industry is for high performance electric drives that are capable of achieving speed commands accurately. Control methods have had to reach higher levels of sophistication accordingly. Induction motors, with their advantages in terms of size, cost and efficiency, are best suited to meet these growing needs. In costly systems, maintenance and protection are especially essential in the prevention of system breakdowns and catastrophes it is now possible to utilize wavelet principles to efficiently diagnose and protect industrial induction motors. In this paper, we investigate the use of the wavelet in the fault detection of vector controlled induction motors, detection of the broken rotor bar and stator short winding faults as well as the verification of wavelet fault detection models using MATLAB. Finally, two approaches for the protection of induction motor are examined. The first uses the Automatic Gain Control (AGC) to compensate the voltage of the induction motor to maintain satisfactory operation. The second halts operation when the fault severity becomes high. Without delving into excessively detailed results, we analyze the output relevant to wavelet detection and diagnosis
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