Quantification of valve leakage rates

This article gives an overview of methods concerning the detection and quantification of internal leaks through valves. It also presents comparisons of the methods using new experimental data with emphasis on the spectral information in the signals. The first method utilizes known analytical relationships between acoustic emissions and fluid flow. The second method is a data-driven comparative approach where an online signal from a leaking valve is compared with a set of saved reference signals from leaking valves. The work presents a new and improved way of leak estimation compared to what is practiced in the industry today, which will ultimately result in safer operations and reduced maintenance related costs. © 2011 American Institute of Chemical Engineers AIChE J, 2012

[1]  Ying-wei Zhang,et al.  Complex process monitoring using modified partial least squares method of independent component regression , 2009 .

[2]  Kamel A. Elshorbagy.  An investigation into noise radiation from flow control valves with particular reference to flow rate measurement , 1983 .

[3]  B. Kowalski,et al.  Partial least-squares regression: a tutorial , 1986 .

[4]  J. Vandewalle,et al.  An introduction to independent component analysis , 2000 .

[5]  Nina F. Thornhill,et al.  Detecting and isolating multiple plant-wide oscillations via spectral independent component analysis , 2005, Autom..

[6]  G. Reethof,et al.  Turbulence-Generated Noise in Pipe Flow , 1978 .

[7]  I. Helland.  Partial Least Squares Regression , 2006 .

[8]  X. Z. Wang,et al.  A New Approach to Near-Infrared Spectral Data Analysis Using Independent Component Analysis , 2001, J. Chem. Inf. Comput. Sci..

[9]  P. L. Jenvey.  Gas pressure reducing valve noise , 1975 .

[10]  Joseph W. Dickey,et al.  ACOUSTICAL VALVE LEAK DETECTOR FOR FLUID SYSTEM MAINTENANCE , 1979 .

[11]  S. Wold.  Nonlinear partial least squares modelling II. Spline inner relation , 1992 .

[12]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[13]  Viggo Henriksen,et al.  Spectral analysis of internally leaking shut-down valves , 2011 .

[14]  N. Curle.  The influence of solid boundaries upon aerodynamic sound , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[15]  Roman Rosipal,et al.  Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space , 2002, J. Mach. Learn. Res..

[16]  P. KaewTrakulPong,et al.  Investigation of the relationship between internal fluid leakage through a valve and the acoustic emission generated from the leakage , 2010 .

[17]  Graham Thompson,et al.  An experimental investigation into the detection of internal leakage of gases through valves by vibration analysis {Awarded Filtration Prize, Process Industries Division, IME 1997} , 1997 .

[18]  D. J. Small,et al.  A Computerized Valve Noise Prediction System , 1975 .

[19]  Yoong-Ho Jung,et al.  A study of the characteristics of the acoustic emission signals for condition monitoring of check valves in nuclear power plants , 2006 .

[20]  S. Wold,et al.  PLS-regression: a basic tool of chemometrics , 2001 .

[21]  Roger I. Grosvenor,et al.  Internal valve leakage detection using an acoustic emission measurement system , 1998 .

[22]  Stan Hale,et al.  Online Valve Monitoring Systems Used on Off-Shore Platforms in the North Sea , 2002 .

[23]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[24]  Graham Thompson,et al.  An experimental investigation into the detection of internal leakage of gases through valves by vibration analysis , 1997 .

[25]  Nina F. Thornhill,et al.  Principal component analysis of spectra with application to acoustic emissions from mechanical equipment , 2002 .

[26]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[27]  Biao Huang,et al.  Spectral principal component analysis of dynamic process data , 2002 .

[28]  Hans D. Baumann,et al.  A method to estimate hydrodynamic noise produced in valves by submerged turbulent and cavitating water jets , 2004 .

[29]  Sang Guk Lee,et al.  Evaluation of Internal Leak in Valve Using Acoustic Emission Method , 2006 .

[30]  A. J. Morris,et al.  Non-linear projection to latent structures revisited (the neural network PLS algorithm) , 1999 .

[31]  Frank Westad,et al.  Independent component analysis and regression applied on sensory data , 2005 .

[32]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..