{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Miryam Strautkalns", "hasEmail": "mailto:miryam.strautkalns@nasa.gov"}, "description": "Complex engineering systems require efficient fault diagnosis methodologies, but centralized ap- proaches do not scale well, and this motivates the development of distributed solutions. This work presents an event-based approach for distributed diagnosis of abrupt parametric faults in continuous systems, by using the structural model decompo- sition capabilities provided by Possible Conflicts. We develop a distributed diagnosis algorithm that uses residuals, computed by extending Possible Conflicts, to build local event-based diagnosers based on global diagnosability analysis that gen- erate globally correct local diagnosis results. The proposed approach is applied to a multi-tank sys- tem, and results demonstrate an improvement in the design of local diagnosers. Since local diag- nosers use only a subset of the residuals, and use subsystem models to compute residuals (instead of the global system model), the local diagnosers are more efficient than previously developed dis- tributed approaches.", "distribution": [{"@type": "dcat:Distribution", "description": "12-BregonEtAl-ImprovingDistribDiagnosis-DX2011.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/12-BregonEtAl-ImprovingDistribDiagnosis-DX2011.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "12-BregonEtAl-ImprovingDistribDiagnosis-DX2011.pdf"}], "identifier": "DASHLINK_816", "issued": "2013-07-29", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/816/", "modified": "2025-03-31", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Improving Distributed Diagnosis Through Structural Model Decomposition"}