Decision Tree Method for Fault Causes Classification Based on RMS-DWT Analysis in 275 kV Transmission Lines Network
نویسندگان
چکیده
This paper presents a statistical algorithm for classification of fault causes on power transmission lines. The proposed is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at sending end line decision tree method, commonly accessible measurable method. Fault duration RMS signal, DWT gives concealed data signature as contribution to calculation which utilized classify various causes. method was carried out in MATLAB/SIMULINK programming platform information made with analysis 275 kV sample considering wide variations operating conditions. classifier performance different parameters also compared confusion matrix form obtain best results tree.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11094031