International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Detection of Various Abnormal Conditions in three Phase Induction Motor Based on Principal Component Analysis
Induction Motors are complex electromechanical devices widely used for conversion of power from electrical to
mechanical form in various industrial applications because they are robust, controlled and most suitable for many
applications. This paper discuss the diagnosis of 3 phase squirrel cage induction motor for various abnormal conditions like
over voltage, under voltage, single phasing, voltage unbalance along with healthy conditions. The main objective is to detect
such abnormalities by means of Principal Component Analysis (PCA). Induction motor stator current, as a signal due to the
abnormal conditions in three-phase induction motor, is recorded. The features of recorded signals are extracted by Principal
Component Analysis. Then, Artificial Neural Network is used to differentiate the healthy and abnormal condition of
Index Terms - Induction Motor, Over Voltage, Under Voltage, Single Phasing, Voltage Unbalance, Statistical Parameter,
Principal Component Analysis, Artificial Neural Network.
Author - Aniket A. Sultane, A. U. Jawadekar
Citation - Aniket A. Sultane ,
A. U. Jawadekar ,
Aniket A. Sultane, A. U. Jawadekar " Detection of Various Abnormal Conditions in three Phase Induction Motor Based on Principal Component Analysis " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-5,Issue-8 ( Aug, 2017 )