Title :
SDPQ classification based on maximum similarity principle of S-transform MTFM
Author :
Xiao, Xianyong ; Li, Wan ; Yang, Honggeng
Author_Institution :
Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu
fDate :
Nov. 30 2008-Dec. 3 2008
Abstract :
The S-transformed module time-frequency matrix exactly contains detailed characteristics of short-duration power quality disturbance (SDPQD). The standard S-transformed module time-frequency matrix (MTFM) of different ideal disturbance compares with which of the tested disturbance signals. According to the maximum similarity principle (MSP), the practical tested PQ disturbances are classified into different types exactly. Using the S-transformed results directly, the proposed classifying scheme is superior with simple principium and low calculating cost. The simulation results show that the proposed method is effective in classifying SDPQD and possesses better noise proof ability.
Keywords :
power supply quality; power system faults; MSP; MTFM; PQ disturbances; S-transformed module time-frequency matrix; SDPQD; maximum similarity principle; short-duration power quality disturbance; Data mining; Discrete Fourier transforms; Discrete wavelet transforms; Fourier transforms; Monitoring; Noise robustness; Power quality; Sampling methods; Testing; Time frequency analysis; Classification; Module Time-Frequency Matrixes; Noise robustness; Power Quality; S-Transform; Short duration disturbances;
Conference_Titel :
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-2341-5
Electronic_ISBN :
978-1-4244-2342-2
DOI :
10.1109/APCCAS.2008.4746411