An Algorithm Based on Probes to Locate Fault Nodes in Electric Power Data Network

DOI

10.2991/icsnce-16.2016.61How to use a DOI?

Keywords

Electric power data network; Fault location; Probes; Bayes

Abstract

Fault location is a key part of electric power data network. The existing algorithms collect alarm information to locate fault, which gain low accuracy. IP network usually uses probe to monitor service performance which can locate fault rapidly. However this method does not be applied to electric power data network. Accordingly this paper apply probe method to electric power data network, and then proposes an algorithm to locate fault in electric power data network. The proposed method analyses the degree of business affected and calculates the impact factor of nodes firstly, then according the nodes detection to gain a sparse matrix, finally uses this sparse matrix gets a totally matrix. At last, the proposed algorithm uses the impact factor of nodes and totally matrix as the put in factors of Bayes network model to gain fault locations. The simulation results show that compared to the existing algorithms IBSD and IHU, our algorithm gains better accuracy and lower error rate.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo Fu
AU  - Peng Liu
AU  - Hongwei Li
PY  - 2016/07
DA  - 2016/07
TI  - An Algorithm Based on Probes to Locate Fault Nodes in Electric Power Data Network
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 311
EP  - 317
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.61
DO  - 10.2991/icsnce-16.2016.61
ID  - Fu2016/07
ER  -