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d-matrix based fault modeling for cryogenic loading systems

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

Published

Standard

d-matrix based fault modeling for cryogenic loading systems. / Kodali, Anu; Robinson, Peter; Patterson-Hine, Anna et al.
2015.

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

Harvard

Kodali, A, Robinson, P, Patterson-Hine, A, Luchinsky, D, Khasin, M, Ponizhovskaya, E, Perotti, J, Brown, B & Bajwa, A 2015, 'd-matrix based fault modeling for cryogenic loading systems'. <https://www.phmsociety.org/node/1735>

APA

Kodali, A., Robinson, P., Patterson-Hine, A., Luchinsky, D., Khasin, M., Ponizhovskaya, E., Perotti, J., Brown, B., & Bajwa, A. (2015). d-matrix based fault modeling for cryogenic loading systems. https://www.phmsociety.org/node/1735

Vancouver

Kodali A, Robinson P, Patterson-Hine A, Luchinsky D, Khasin M, Ponizhovskaya E et al.. d-matrix based fault modeling for cryogenic loading systems. 2015.

Author

Kodali, Anu ; Robinson, Peter ; Patterson-Hine, Anna et al. / d-matrix based fault modeling for cryogenic loading systems. 10 p.

Bibtex

@conference{b91f1de8058842f1b95caa9e34601522,
title = "d-matrix based fault modeling for cryogenic loading systems",
abstract = "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.",
keywords = "cryogenic loading, two-phase flow model, integrated health management, D-matrix",
author = "Anu Kodali and Peter Robinson and Anna Patterson-Hine and Dmitry Luchinsky and Michael Khasin and Ekaterina Ponizhovskaya and Jose Perotti and Barbara Brown and Anupa Bajwa",
year = "2015",
language = "English",

}

RIS

TY - CONF

T1 - d-matrix based fault modeling for cryogenic loading systems

AU - Kodali, Anu

AU - Robinson, Peter

AU - Patterson-Hine, Anna

AU - Luchinsky, Dmitry

AU - Khasin, Michael

AU - Ponizhovskaya, Ekaterina

AU - Perotti, Jose

AU - Brown, Barbara

AU - Bajwa, Anupa

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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

M3 - Conference paper

ER -