One of the challenges in data-driven prognostics is the availability of degradation data for application to prognostic methods. In real process management settings, failure data are not often available due to the high costs of unplanned breakdowns. This research presents a data-driven (empirical) modeling approach for characterizing the degradation of a heat exchanger (HX) and to estimate the Remaining Useful Life (RUL) of its design operation. The Autoassociative Kernel Regression (AAKR) modeling was applied to predict the effect of fouling on the heat transfer resistance. The result indicates that AAKR model is an effective method to capture the HX fouling in the dynamic process. The AAKR residuals were fused to develop a prognostic parameter which was used to develop a General Path Model (GPM) with Bayesian updating. The results demonstrate the successful application of this approach for the heat exchanger RUL prediction.
How to Cite
prognostics, Heat Exchanger, Fouling
Epstein, N.,"General Thermal Fouling Models," L.F. Melo, T.R. Bott and C.A. Bernardo, eds., Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 15-30, 1988.
Holman, J. P., Heat Transfer, 5th Edition, McGraw-Hill, New York, 1981.
Ingimundardόttir H., & S. Lalot, "Detection of fouling in a cross-flow heat exchanger using wavelets" International Conference on Heat exchanger Fouling and Cleaning, 2009.
Hines J. W., & J. Coble, "Applying the General Path Model to Estimation of Remaining Useful Life," International Journal of Prognostics and Health Monitoring (IJPHM), 2010.
Hines, J. W., & J. Coble, Process and Equipment Prognostics Toolbox, Tutorial version 1.0, University of Tennessee, 2011.
Hines J. W. & D. Garvey, Process and Equipment Monitoring Toolbox Tutorial, Nuclear Engineering Department, University of Tennessee, 2006.
Hines J. W. & A. Usynin, "MSET Performance Optimization Through Regularization", Nuclear Engineering and Technology, Vol. 37, No. 2, April 2005, pp 177-184.
Hines J. W., D. Garvey, & R. Seibert, "On-Line Sensor Calibration Monitoring Challenges and Effective Monte Carlo Based Uncertainty Estimation," The University of Tennessee, 2003.
Steinhagen, R, H.M. Steinhagen, & K. Maani, "Problems and Costs due to Heat Exchanger Fouling in New Zealand Industry," Heat Transfer Engineering, Vol. 14, No. 1, pp. 19-30, 1993.
Lingfang S., et al., "Research on the fouling prediction of heat exchanger based on support vector machine", International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008.
Katsikis, V . N., "MA TLAB- a fundamental tool for scientific computing and engineering application,” Vol. 3, Chapter 3, Intech, September 2012.
Upadhyaya, B. R., J. W. Hines, et al., On-Line Monitoring and Diagnostics of the Integrity of Nuclear Plant Steam Generators and Heat Exchangers, Final Report: Volume 1, Experimental and Hybrid Modeling Approach for Monitoring Heat Exchanger System Performance, prepared for the DOE-NEER Program by the University of Tennessee, Knoxville, Report No. DE-FG07- 01ID14114/UTNE-07, September 2004.
Nesta, J., “Reduce fouling in shell-and-tube heat exchangers,” Hydrocarbon Processing, pp. 77-82, July 2004.
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