Multi-source Partial Discharge Mixed Signal Separation Method based on JADE Algorithm
DOI:
CSTR:
Author:
Affiliation:

School of Electrical Information Engineering, Dalian Jiaotong University, Dalian 116021, China

Clc Number:

TM835

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    When there are multiple partial discharge sources in electrical equipment, mixed partial discharge signals will be generated, which will bring difficulties to subsequent signals identification and other work. Aiming at this problem, this paper to electrical equipment inside at the same time there are three different insulation defects, for example, each with three kinds of signal model with exponential and three kinds of UHF bureau put mathematical model is constructed in the two groups mixed signals, partial discharge to simulate different mixed signals generated by electrical equipment, and put forward using a JADE based on blind source separation algorithm to separate the signal, and then use the similarity coefficient and signal interference ratio of two kinds of evaluation parameters to describe the separation performance of the algorithm, finally add appropriate noise in the signal, test the robustness of the algorithm. The simulation results show that the method can effectively separate the signals, the similarity coefficient of the separated signal and the source signal is above 0.9, and the signal interference ratio is above 9.0, and it has a certain robustness, which lays a certain foundation for the subsequent signal identification work.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: August 09,2024
  • Published:
Article QR Code