Leak detection, isolation and characterization using a pressure sensing line frequency response function

Keith Holbert, Ryan M. Wilding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012, NPIC and HMIT 2012
Subtitle of host publicationEnabling the Future of Nuclear Energy
Pages775-785
Number of pages11
StatePublished - Dec 1 2012
Event8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012: Enabling the Future of Nuclear Energy, NPIC and HMIT 2012 - San Diego, CA, United States
Duration: Jul 22 2012Jul 26 2012

Publication series

Name8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012, NPIC and HMIT 2012: Enabling the Future of Nuclear Energy
Volume2

Other

Other8th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2012: Enabling the Future of Nuclear Energy, NPIC and HMIT 2012
CountryUnited States
CitySan Diego, CA
Period7/22/127/26/12

Keywords

  • Instrument lines
  • Noise analysis

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Control and Systems Engineering

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  • Cite this

    Holbert, K., & Wilding, R. M. (2012). Leak detection, isolation and characterization using a pressure sensing line frequency response function. In 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 (pp. 775-785). (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; Vol. 2).