Title :
Classification for voltage sags based on similarity of generalized S-transform modulus matrixes
Author :
Fangwei Xu ; Yin Zhang ; Honggeng Yang
Author_Institution :
Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
Abstract :
This paper proposes a new classification method about voltage sags based on the module matrix of generalized S-transform. It firstly determines the adjustment factor λ of Gauss window width according to the main frequency constituents of the signals, then calculates the modulus matrixes of the S-transform so as to form the standard templates. The signals can be classified by the analysis of the similarity between the specific region of the matrixes of the test signals and the standard templates. In the process of similarity comparison, for enlarging the differences among templates, the concept of normalization and the idea of calculating similarities at different frequencies are proposed. This method sufficiently excavates the different disturbance characteristic differences; no extra classification processes are needed. Simulation analysis indicates that this method is easy to be implemented and has high accuracy and noise robustness.
Keywords :
S-matrix theory; pattern matching; power supply quality; signal classification; Gauss window width; disturbance characteristic differences; generalized S-transform modulus matrices; noise robustness; signal classification; signal frequency constituents; standard templates; voltage sags classification; Repeaters; Time frequency analysis; Classification algorithms; Power quality; Power systems; Transforms;
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2012 IEEE 15th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-1944-7
DOI :
10.1109/ICHQP.2012.6381212