D-matrix Based Fault Modeling for Cryogenic Loading Systems

Anu Kodali, Peter Robinson, Anna Patterson-Hine, Ekaterina Ponizovskaya-Devine, Dmitry G Luchinsky, Michael Khasin, Jose Perotti, Barbara Brown, and Anupa Bajwa
Submission Type: 
Full Paper
Supporting Agencies (optional): 
cryogenic loading, two-phase flow model, integrated health management, D-matrix
phmc_15_019.pdf389.17 KBAugust 7, 2015 - 1:57pm

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.

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Submission Keywords: 
cryogenic loading
two-phase flow
integrated health management
Submission Topic Areas: 
Model-based methods for fault detection, diagnostics, and prognosis
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