Classification of voltage sags at Induction Motor by Artificial Neural Network

Currently, the voltage sag is the major power quality issue in the power system and in an industry, which are occurred due to loss of load, faults, suddenly energization of the load, transformers and capacitors etc. These voltage sags will not be easily identified by the operators. Therefore, there is need to detect and analyze the voltage sag. In this paper, Wavelet Transform and Artificial Neural Network (ANN) are used for evaluating such voltage sag events. Here, ANN is machine tool which is more compatible for the pattern classification, estimation and other operations.