@inproceedings{5f95ae940ed14408a969e5a450fe5e4f,
title = "New passive methodology for online power cable diagnosis by frequency analysis",
abstract = "Power system current and voltage signals contain valuable information about the system status within their small random fluctuations. Frequency domain analysis of these so-called noise signals enables us to monitor the power cable health. This paper proposes a new passive methodology for online power cable diagnosis by resonant frequency analysis. The feasibility of this methodology is proved by analytic studies and simulation results using PSCAD.",
keywords = "Power transmission, condition monitoring, frequency-domain analysis, resonance, transfer functions",
author = "Youngdeug Kim and Keith Holbert",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "30",
doi = "10.1109/PESGM.2015.7285948",
language = "English (US)",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",
}