FLoGPN: A reputation based scheme for fault localization in gas pipeline network

Pushpendu Kar, R. Sugunakar Reddy, Payal Gupta, Justin Dauwels, Abhisek Ukil

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Faults in a gas pipeline network is one of the major impairments towards the safe gas distribution among consumers. So, it is significant to detect and locate the faults in a pipeline network. In this work, a novel sensor based fault localization scheme, FLoGPN is proposed for detection and localization of faults in a gas distribution network. Here leak in gas pipeline network is considered as fault. This scheme uses Josang's Beta Reputation model to combine information from the sensors to select the nearest sensor to the fault. The aim is to identify the nearest sensor to the fault that indicates the faulty pipe segment in the whole network. The method is tested in the presence of noise to check its reliability and the simulation results show that the scheme can localize fault in a gas pipeline network accurately with the SNR value 20 dB or more.

Original languageEnglish
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages4651-4656
Number of pages6
ISBN (Electronic)9781509034741
DOIs
Publication statusPublished - 21 Dec 2016
Externally publishedYes
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 24 Oct 201627 Oct 2016

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference42nd Conference of the Industrial Electronics Society, IECON 2016
Country/TerritoryItaly
CityFlorence
Period24/10/1627/10/16

Keywords

  • Gas Pipeline Network
  • Leak
  • Localization
  • Water Ingress

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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