{"type":"ScholarlyArticle","title":"Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem","authors":[{"name":"Louise Travé-Massuyès","slug":"louise-trave-massuyes","given":"Louise","family":"Travé-Massuyès","affiliation":""},{"name":"Teresa Escobet","slug":"teresa-escobet","given":"Teresa","family":"Escobet","affiliation":""},{"name":"Robert Milne","slug":"robert-milne","given":"Robert","family":"Milne","affiliation":""}],"abstract":"This paper presents a methodology for: assessing the degree of diagnosability of a system, i.e. given a set of sensors, which faults can be discriminated? and; characterising and determining the minimal additional sensors which guarantee a specified degree of diagnosability. This method has been applied to several subsys tems of a Ge neral Electric Frame 6 gas turbine owned by a major UK utility.","doi":null,"url":"https://ijcai.org/proceedings/2001/77","pdf":"https://ijcai.org/proceedings/2001/0077.pdf","markdown":"https://ijcai.org/proceedings/2001/77.md","bibtex":"https://ijcai.org/proceedings/2001/bibtex/77","volume":{"slug":"2001","title":"Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2001","url":"https://ijcai.org/proceedings/2001/","year":2001,"location":"Seattle, Washington, USA","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":77,"pages":{"first":551,"last":555},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}