• DocumentCode
    2331172
  • 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
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    1880
  • Lastpage
    1883
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746411
  • Filename
    4746411