{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Miryam Strautkalns", "hasEmail": "mailto:miryam.strautkalns@nasa.gov"}, "description": "We describe two model-based diagnosis algo- rithms entered into the Third International Diag- nostic Competition. We focus on the first diag- nostic problem of the industrial track of the com- petition in which a diagnosis algorithm must de- tect, isolate, and identify faults in an electrical power distribution testbed in order to provide cor- rect abort recommendations. Both diagnosis al- gorithms are based on a qualitative event-based fault isolation framework augmented with model- based fault identification. Although based on a common framework, the fundamental difference between the two algorithms is that one is based on a global model for residual generation, fault iso- lation, and fault identification, whereas the other uses a set of minimal submodels computed using Possible Conflicts. We describe, compare, and contrast the two algorithms in terms of practical implementation and their diagnosis results.", "distribution": [{"@type": "dcat:Distribution", "description": "11-DaigleEtAl-QED-DXC11.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/11-DaigleEtAl-QED-DXC11.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "11-DaigleEtAl-QED-DXC11.pdf"}], "identifier": "DASHLINK_815", "issued": "2013-07-29", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/815/", "modified": "2025-04-01", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Qualitative Event-based Diagnosis with Possible Conflicts: Case Study on the Third International Diagnostic Competition"}