Title :
Early detection of unbalance voltage in three phase induction motor based on SVM
Author :
Sawitri, D.R. ; Asfani, D.A. ; Purnomo, Mauridhi Hery ; Purnama, I.K.E. ; Ashari, Mohamed
Author_Institution :
Electr. Eng. Dept., Dian Nuswantoro Univ., Semarang, Indonesia
Abstract :
Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original system to detect an unbalance voltage condition in induction motor using Support Vector Machine (SVM). Induction motor current, as a signal due to the unbalance voltage supply in three-phase induction motor, is recorded in lab bench. The features of recorded signals are extracted by wavelet transform and Principal Component Analysis algorithm. Then, the quality of detection is classified by SVM, and the average result of detection is 86%.
Keywords :
condition monitoring; fault diagnosis; feature extraction; induction motors; principal component analysis; signal processing; support vector machines; wavelet transforms; SVM; feature extraction; principal component analysis; support vector machine; three phase induction motor; unbalance voltage supply detection; wavelet transform; Circuit faults; Feature extraction; Induction motors; Kernel; Noise reduction; Principal component analysis; Support vector machines; Induction Motor; Support Vector Machine (SVM); Unbalance Voltage;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location :
Valencia
DOI :
10.1109/DEMPED.2013.6645772
