Physics-based approach to the cryogenic flow health management is presented. It is based on fast and time-accurate physics models of the cryogenic flow in the transfer line. We discuss main features of one of these models – the homogeneous moving front model and presents results of its validation. The main steps of the approach including fault detection, identification, and evaluation are discussed. A few examples of faults are presented. It is shown that dynamic features of the faults naturally form a number of ambiguity groups. A D-matrix approach to optimized identification of these faults is briefly outlined. An example of discerning and evaluating faults within one ambiguity group using optimization algorithm is considered in more details. An application of this approach to the Integrated Health Management of cryogenic loading is discussed.
How to Cite
optimization, Fault detection and isolation, cryogenic flow, two-phase model
Brennan, J., Brentari, E., Smith, R., & Steward, W. (1966). Cooldown of cryogenic transfer lines [Experimental Report].
Chato, D. J. (2008). Cryogenic fluid transfer for exploration. Cryogenics, 48(5-6), 206–209.
Hafiychuk, V., Foygel, M., Ponizovskaya-Devine, E., Smelyanskiy, V., Watson, M. D., Brown, B., & Goodrich, C. (2014). Moving-boundary model of cryo- genic fuel loading, i: Two-phase flow in a pipe [Journal Article]. Journal of Thermophysics and Heat Transfer, 1-12.
Hafiychuk, V., Foygel, M., Ponizovskaya-Devine, E., Smelyanskiy, V., Watson, M. D., Brown, B., & Goodrich, C. (2015). Moving-boundary model of cryogenic fuel loading, ii: Theory versus experiments [Journal Article]. Journal of Thermophysics and Heat Transfer, 1-6.
Jensen, J., Jensen, J. M., & Tummescheit, H. (2002). Moving boundary models for dynamic simulations of two-phase flows. In Proc. of the 2nd int. modelica conference.
Johnson, R., Notardonato, W., Currin, K., & Orozco-Smith, E. (2012). Integrated ground operations demonstration units testing plans and status [Book Section]. In Aiaa space 2012 conference & exposition. American Institute of Aeronautics and Astronautics.
Kashani, A., Ponizhovskaya, E., Luchinsky, D., Smelyanskiy, V., Sass, J., Brown, B., & Patterson-Hine, A. (2014). Physics based model for online fault detection in autonomous cryogenic loading system [Journal Article]. AIP Conference Proceedings, 1573(1), 1305-1310.
Luchinsky, D. G., Smelyanskiy, V. N., & Brown, B. (2014a). Physics based model for cryogenic chilldown and loading. part i: Algorithm (Technical Publication No. NASA/TP-2014-216659). NASA, ARC.
Luchinsky, D. G., Smelyanskiy, V. N., & Brown, B. (2014b).Physics based model for cryogenic chilldown and loading. part ii: Verification and validation (Technical Publication No. NASA/TP-2014-218298). NASA, ARC.
Prosperetti, A., & Tryggvason, G. (n.d.). Computational methods for multiphase flow. Cambridge University Press.
Sheppard, J. W., & Simpson, W. R. (1996). Improving the accuracy of diagnostics provided by fault dictionaries [Conference Proceedings]. In Vlsi test symposium, 1996., proceedings of 14th (p. 180-185).
Singh, S., Kodali, A., Choi, K., Pattipati, K. R., Namburu, S. M., Sean, S. C., . . . Liu, Q. (2009). Dynamic multiple fault diagnosis: Mathematical formulations and solution techniques [Journal Article]. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 39(1), 160-176.
Thome, J. R. (2006). Ch. 13, two-phase pressure drop. (web book updated yearly).
Woldesemayat, M. A., & Ghajar, A. J. (2007). Comparison of void fraction correlations for different flow patterns in horizontal and upward inclined pipes. International Journal of Multiphase Flow, 33(4), 347 - 370.
Zhang, W.-J., & Zhang, C.-L. (2006). A generalized moving-boundary model for transient simulation of dry-expansion evaporators under larger disturbances [Journal Article]. International Journal of Refrigeration, 29(7), 1119-1127.
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