@inproceedings{2d55d501585749cc8ecb8b88a5642605,
title = "FLoGPN: A reputation based scheme for fault localization in gas pipeline network",
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.",
keywords = "Gas Pipeline Network, Leak, Localization, Water Ingress",
author = "Pushpendu Kar and {Sugunakar Reddy}, R. and Payal Gupta and Justin Dauwels and Abhisek Ukil",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2016",
month = dec,
day = "21",
doi = "10.1109/IECON.2016.7793693",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "4651--4656",
booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",
address = "United States",
}