{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "SCOTT POLL", "hasEmail": "mailto:scott.d.poll@nasa.gov"}, "description": "This paper demonstrates a novel optimizationbased\r\napproach to estimating fault states in a DC power\r\nsystem. The model includes faults changing the circuit topology\r\nalong with sensor faults. Our approach can be considered as\r\na relaxation of the mixed estimation problem. We develop\r\na linear model of the circuit and pose a convex problem\r\nfor estimating the faults and other hidden states. A sparse\r\nfault vector solution is computed by using l1 regularization.\r\nThe solution is computed reliably and efficiently, and gives\r\naccurate diagnostics on the faults. We demonstrate a real-time\r\nimplementation of the approach for an instrumented electrical\r\npower system testbed at NASA. Accurate estimates of multiple\r\nfaults are computed in milliseconds on a PC. The approach\r\nperforms well despite unmodeled transients and other modeling\r\nuncertainties present in the system.", "distribution": [{"@type": "dcat:Distribution", "description": "ACC09_ADAPT.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/ACC09_ADAPT.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "ACC09_ADAPT.pdf"}], "identifier": "DASHLINK_868", "issued": "2013-12-18", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/868/", "modified": "2025-04-01", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Estimation of Faults in DC Electrical Power System"}