Functional Fault Modeling of a Cryogenic System for Real-Time Fault Detection and Isolation | Zendy

Rebecca Oostdyk | Zendy; Bob Ferrell | Zendy; Mark Lewis | Zendy; José Perotti | Zendy; Barbara Brown | Zendy

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Functional Fault Modeling of a Cryogenic System for Real-Time Fault Detection and Isolation

Author(s) -

Rebecca Oostdyk,

Bob Ferrell,

Mark Lewis,

José Perotti,

Barbara Brown

Publication year - 2010

Publication title -

aiaa infotech @ aerospace

Language(s) - English

Resource type - Conference proceedings

DOI - 10.2514/6.2010-3548

Subject(s) - fault detection and isolation , process (computing) , isolation (microbiology) , reliability engineering , fault (geology) , computer science , data modeling , systems engineering , fault model , engineering , development (topology) , real time computing , software engineering , operating system , electrical engineering , artificial intelligence , seismology , geology , microbiology and biotechnology , actuator , biology , mathematical analysis , electronic circuit , mathematics

The purpose of this paper is to present the model development process used to create a Functional Fault Model (FFM) of a liquid hydrogen (LH2) system that will be used for realtime fault isolation in a Fault Detection, Isolation and Recover (FDIR) system. The paper explains the steps in the model development process and the data products required at each step, including examples of how the steps were performed for the LH2 system. It also shows the relationship between the FDIR requirements and steps in the model development process. The paper concludes with a description of a demonstration of the LH2 model developed using the process and future steps for integrating the model in a live operational environment.

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