A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 414-415.
Abstract
Process-monitoring and fault lo catio n techniqu es have been developed at the Kennedy Space Center in a domain of mixed med ia control in NASA's Space Shuttl e Launch Processing System. An intuitively appealing diagno stic technique and representation of the system's str ucture and function were formulated in coop e ration with system engineers . Functional relationships that d ete rmine the consistency of sensor me asurements are represented by sy mbolic expressions e mb edded in frames. Functional relationships are st or e d in exactly one place, so they must be inverted to de termine hypoth etica l values for possibly faulty objects. Propagating thes e hypoth e ti cal sta tes to other se n sors permits the lo cation of faults. Standard sy mbolic inv ersion techniques have be e n ex t en d e d to include con diti onal functions. A demonstration system is operating, and lts evaluaticn will soon use live data from th e firing rooms a t KSC.
@inproceedings{ijcai1985p79,
title = {A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle},
author = {Scarl, Ethan A. and Jamieson, John R. and Delaune, Carl I.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {414--415},
year = {1985},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1985/79},
}
TY - CPAPER TI - A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle AU - Scarl, Ethan A. AU - Jamieson, John R. AU - Delaune, Carl I. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 414 EP - 415 UR - https://ijcai.org/proceedings/1985/79 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: