D-matrix Based Fault Modeling for Cryogenic Loading Systems



Published Oct 18, 2015
Anuradha Kodali Ekaterina Ponizovskaya-Devine Peter Robinson Dmitry Luchinsky Anupa Bajwa


The study is motivated by NASA plans to develop technology for an autonomous cryogenic loading operation including online fault diagnostics as a part of Integrated Health Management system. For years, the diagnostic modeling effort is performed in many paradigms. None of these paradigms independently can provide a complete set of efficiency metrics: better diagnostics, lower run-time, etc. D-matrix, a causal 0-1 relationship between faults and tests, is proposed as a single representation between different model-based diagnostic methods for comparison and communication. This framework is suitable to create a common platform for communication via D-matrix for systems engineering process. The knowledge transfer between modeling techniques is done via D-matrix. In addition, D-matrix provides a common paradigm to compare the embedded knowledge and performance of heterogeneous diagnostic systems. D-matrix is generated from physics models to be used with faster run-time performance D-matrix based diagnostic algorithms. Additionally, we will also investigate if the derived D- matrix and thereby the physics model is sufficient and accurate for efficient diagnostics via iDME tool.

How to Cite

Kodali, A. ., Ponizovskaya-Devine, E. ., Robinson, P. ., Luchinsky, D. ., & Bajwa, A. . (2015). D-matrix Based Fault Modeling for Cryogenic Loading Systems. Annual Conference of the PHM Society, 7(1). https://doi.org/10.36001/phmconf.2015.v7i1.2604
Abstract 194 | PDF Downloads 131



cryogenic loading, two-phase flow, integrated health management, D-matrix

NASA Systems Engineering Handbook (2007). NASA Systems Engineering Handbook. NASA, http://www.acq.osd.mil/se/docs/NASA-SP-2007-6105- Rev-1-Final-31Dec2007.pdf.

Johnson, S. B., Gormley, T., Kessler, S., Mott, C., Patterson-Hine, A., Reichard, Karl., & Scandura, P. (Eds.). (2011). System Health Management: with Aerospace Applications. Wiley Publishers.

Luo, J., Tu, H., Pattipati, K., Qiao, L., & Chigusa, S. (2006). Graphical models for diagnostic knowledge representation and inference. IEEE Instrum. Meas. Mag., vol. 9, no. 4, pp. 45–52.

Deb, S., Pattipati, K., Raghavan, V., Shakeri, M., Shrestha, R. (1995). Multi-signal flow graphs: a novel approach for system testability analysis and fault diagnosis. IEEE Aerospace and Electronic Systems Magazine, vol. 10, no. 5, pp. 14-25.

Vesely, W., et al. (2002). Fault Tree Handbook with Aerospace Applications. National Aeronautics and Space Administration.

Skiena, Steven S. (2011). Transitive Closure and Reduction. In The Algorithm Design Manual (2nd ed.) (pp. 495- 497), Springer Publishers.

Kodali, A., Robinson, P., & Patterson-Hine, A. (2013). A framework to debug diagnostic matrices. Annual Conference of the Prognostics and Health Management Society 2013, October 14 - 17, New Orleans, LO.

Isermann, R. (1984), Process Fault Detection Based on Modeling and Estimation Methods - A Survey. Automatica, pp. 387-404.

Kuipers, B. (1993) Qualitative simulation: Then and Now. Articial Intelligence, vol. 59, pp.133- 140.

Qualtech Systems Inc., www.teamqsi.com.

Sheppard, J., & Butcher, S. (2006). On the Linear Separability of Diagnostic Models. IEEE AUTOTESTCON Conference Record, pp. 626–635, New York: IEEE Press.

Johnson, R. G., Notardonato, W. U., Currin, K. M., & Orozco-Smith, E. M. (2012). Integrated Ground Operations Demonstration Units. Testing Plans and Status. AIAA SPACE 2012 Conference & Exposition, pp. 11 - 13, Pasadena, California.

Hafiychuk, V ., Foygel, M., Ponizovskaya-Devine, E., Smelyanskiy, V., Watson, M.D., Brown, B., & Goodrich, C. (2014). Moving-Boundary Model of Cryogenic Fuel Loading, I: Two-Phase Flow in a Pipe, Journal of Thermophysics and Heat Transfer, pp. 1-12.

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. AIP Conference Proceedings, pp. 1305-1310.

Hairer, E., Nørsett, S. P., Wanner, G. (1993), Solving ordinary differential equations I: Nonstiff problems (2nd ed.), Berlin: Springer Verlag.
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