Inverse S-Transform Based Decision Tree for Power System Faults Identification
Abstract: In this paper a
decision tree based identification of power system faults has been proposed.
The key input values to the decision tree are the performance indices
calculated from the maximum values of unfiltered inverse Stockwell transform (MUNIST)
technique. A wide range of techniques including Stockwell transform (ST) have
been used for the identification of power system faults. However, the
signatures produced by these techniques are not unique and sometimes lead to
misinterpretation of faults. Consequently, a decision tree based on the inverse
Stockwell transform method is proposed in the present paper to automatically
identify both the symmetrical and unsymmetrical power system faults. The method
is able to determine both sudden and gradual changes in the signal caused by
different power system faults. The technique is very accurate and produces
unique signatures compared to the existing techniques. The results obtained
show the efficacy of the proposed technique.
Author: Srikanth Pullabhatla,
Ashwani Kumar Chandel, Anil Naik Kanasottu
Journal Code: jptkomputergg110016
