Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines

Analyzing power quality data manually requires a lot of time and special expertise. In this paper, a new approach is shown for automatic identification power quality disturbance on mobile phone by combining the S-transform, a support vector machine (SVM), wireless markup language (WML) and the Matlab web server (MWS). The S-transform is used to generate a set of features for the SVM to classify various power quality disturbances; while the WML and MWS are used to integrate the graphical and computational process through the mobile phone. Results obtained proved the robustness and effectiveness of the proposed method.