An expert system based on s-transform for classification of voltage dips

In this paper an S-transform-based expert system is presented for classification of voltage dips. The S-transform (ST) technique is integrated with expert system (ES) model to construct the classifier. Firstly, ST technique is used to extract and quantify the significant features using amplitude factor, harmonic increment, number of amplitude mutation, and maximum value of phase angle shifting. Then a rule-based expert system is developed to automate the process of classifying the various types of dips. The Inference mechanism algorithms and rules of expert system are constructed, and a binary-decimal conversion classification approach is introduced for well and truly outputting the classification results. The analysis and results show that the classifier can effectively classify different voltage dips.