Pressure sensing line diagnostics with an improved equivalent PI model

Keith Holbert, Kang Lin

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

1 Scopus citations

Abstract

The equivalent pi model is utilized to provide an exact representation of the transfer function of a pressure transmitter impulse line. The construct is expanded to include anomalies such as blockage and the presence of voids in the sensing line. The models are verified using data obtained from operational electric generating stations. Comparisons of simulation results based on the improved model and operation data show very good agreement, such that the proposed models are considered reasonable representations. The utility of the equivalent pi model is seen in its ability to be combined with replicas of other components in the sensing line while continuing to provide a complete description of the frequency domain features including the series of resonant frequencies. The resonant frequencies provide a fingerprint of the sensing line health. In seeking simple methods of applying the resonant frequency information to perform health monitoring of the impulse lines, two metrics with respect to the resonant frequencies are proposed in this paper.

Original languageEnglish (US)
Title of host publication6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009
Pages755-765
Number of pages11
StatePublished - Dec 1 2009
Event6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009 - Knoxville, TN, United States
Duration: Apr 5 2009Apr 9 2009

Publication series

Name6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009
Volume2

Other

Other6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009
Country/TerritoryUnited States
CityKnoxville, TN
Period4/5/094/9/09

Keywords

  • Hydraulic-electric analogy
  • Noise analysis
  • Power spectral density

ASJC Scopus subject areas

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

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