Parallel Method for Extracting Pulses from Multi-source Massive Partial Discharge Signals

Authors

Liuwang Wang, School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China;
Yongli Zhu, School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China;
Yafei Jia, School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: Aiming at the issue of discharge pulse extraction for multi-source and massive PD signals, a novel parallel method based on Message Passing Interface was proposed. The proposed method applied a parallel mode called manager-worker-writer. In this method, a manager dynamically assigned task to several workers, and these workers executed tasks in parallel and a writer received results from workers in real time, so data management was separated from task execution. In addition, the manager identified sources of PD signals and sent them to workers as the keys for analyzing different data files and setting algorithm parameters, so multi-source and heterogeneous PD signals can be processed in parallel. Experimental results show that the proposed parallel method is efficient, feasible and possesses good speed-up ratio. It achieves total extraction accuracy of above 90%, which can satisfy most engineering applications.

Recommended Citation

Wang, Liuwang; Zhu, Yongli; and Jia, Yafei (2020) "Parallel Method for Extracting Pulses from Multi-source Massive Partial Discharge Signals," Journal of System Simulation: Vol. 29: Iss. 1, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201701009
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/9

First Page

57

Revised Date

2016-04-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701009

Last Page

66

CLC

TP391.9

Recommended Citation

Wang Liuwang, Zhu Yongli, Jia Yafei. Parallel Method for Extracting Pulses from Multi-source Massive Partial Discharge Signals[J]. Journal of System Simulation, 2017, 29(1): 57-66.

DOI

10.16182/j.issn1004731x.joss.201701009