{"type":"ScholarlyArticle","title":"A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle","authors":[{"name":"Ethan A. Scarl","slug":"ethan-a-scarl","given":"Ethan A.","family":"Scarl","affiliation":""},{"name":"John R. Jamieson","slug":"john-r-jamieson","given":"John R.","family":"Jamieson","affiliation":""},{"name":"Carl I. Delaune","slug":"carl-i-delaune","given":"Carl I.","family":"Delaune","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/1985/79","pdf":"https://ijcai.org/proceedings/1985/0079.pdf","markdown":"https://ijcai.org/proceedings/1985/79.md","bibtex":"https://ijcai.org/proceedings/1985/bibtex/79","volume":{"slug":"1985","title":"Proceedings of the Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1985","url":"https://ijcai.org/proceedings/1985/","year":1985,"location":"Los Angeles, California, USA","dates":"","editors":"Aravind Joshi","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Expert Systems","track":"Expert Systems","number":79,"pages":{"first":414,"last":415},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}