@inproceedings{90868544c76d4553a53264fd1bb112a4,
title = "Leak detection, isolation and characterization using a pressure sensing line frequency response function",
abstract = "This paper expands the application of the equivalent pi model to leak detection, isolation, and characterization in a pressurized sensing line. Original analytical work is presented that derives a closed-form expression for a sensing line subjected to a leak at an arbitrary position. Using the pressure transfer function, resonant peak magnitude patterns are found to provide a fingerprint of the leak location within an instrument line. In addition, fitting the peak amplitudes at multiple resonant frequencies provides a means by which both the leak site and magnitude may be determined. The ultimate goal is to utilize the natural fluctuations in fluid pressure within the hydraulic system to passively perform fault diagnostics on pressure sensing lines.",
keywords = "Instrument lines, Noise analysis",
author = "Keith Holbert and Wilding, {Ryan M.}",
year = "2012",
language = "English (US)",
isbn = "9781627480154",
series = "8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012, NPIC and HMIT 2012: Enabling the Future of Nuclear Energy",
pages = "775--785",
booktitle = "8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012, NPIC and HMIT 2012",
note = "8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012: Enabling the Future of Nuclear Energy, NPIC and HMIT 2012 ; Conference date: 22-07-2012 Through 26-07-2012",
}