Sensors and systems for space applications: A methodology for developing fault detection, diagnosis, and recovery

John L. Edwards; Randy M. Beekman; David B. Buchanan; Scott Farner; Gary R. Gershzohn; Mbuyi Khuzadi; D. F. Mikula; Gerry Nissen; James Peck; Shaun Taylor

doi:10.1117/12.718703

3 May 2007 Sensors and systems for space applications: a methodology for developing fault detection, diagnosis, and recovery

John L. Edwards, Randy M. Beekman, David B. Buchanan, Scott Farner, Gary R. Gershzohn, Mbuyi Khuzadi, D. F. Mikula, Gerry Nissen, James Peck, Shaun Taylor

Author Affiliations +

Proceedings Volume 6555, Sensors and Systems for Space Applications; 65550R (2007) https://doi.org/10.1117/12.718703
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Human space travel is inherently dangerous. Hazardous conditions will exist. Real time health monitoring of critical subsystems is essential for providing a safe abort timeline in the event of a catastrophic subsystem failure. In this paper, we discuss a practical and cost effective process for developing critical subsystem failure detection, diagnosis and response (FDDR). We also present the results of a real time health monitoring simulation of a propellant ullage pressurization subsystem failure. The health monitoring development process identifies hazards, isolates hazard causes, defines software partitioning requirements and quantifies software algorithm development. The process provides a means to establish the number and placement of sensors necessary to provide real time health monitoring. We discuss how health monitoring software tracks subsystem control commands, interprets off-nominal operational sensor data, predicts failure propagation timelines, corroborate failures predictions and formats failure protocol.

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John L. Edwards, Randy M. Beekman, David B. Buchanan, Scott Farner, Gary R. Gershzohn, Mbuyi Khuzadi, D. F. Mikula, Gerry Nissen, James Peck, and Shaun Taylor "Sensors and systems for space applications: a methodology for developing fault detection, diagnosis, and recovery", Proc. SPIE 6555, Sensors and Systems for Space Applications, 65550R (3 May 2007); https://doi.org/10.1117/12.718703

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