@inproceedings{e0dc9d79e44b43419fdd000e9a84d569,
title = "TDR-based pipe leakage detection and location using Bayesian inference",
abstract = "TDR is used to detect and locate the water leakages at pipe joint. A wire attached on the pipe surface is soaked by water when the leakage occurs and it affects the characteristic impedance of the wet part, leading to the change of the reflected signal. To infer the leakage from the TDR signal, we used the finite difference time domain based forward model which provides output of the TDR signal given the configuration of the transmission line. Then by solving the inverse problem using Bayesian inference, the locations and the number of leakages are found. The suggested method is validated for multiple leakages which has complex signal to interpret.",
keywords = "Bayesian inference, Leakage detection, Pipe, Time domain reflectrometry (TDR)",
author = "Taejin Kim and \{Sihyeong Woo\}, \{Taejin Kim\} and Youn, \{Byeng D.\} and Huh, \{Young Cheol\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Prognostics and Health Management, PHM 2015 ; Conference date: 22-06-2015 Through 25-06-2015",
year = "2015",
month = sep,
day = "8",
doi = "10.1109/ICPHM.2015.7245056",
language = "English",
series = "2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE Conference on Prognostics and Health Management",
}