{
  "@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": "Electrical power systems play a critical role in spacecraft\r\nand aircraft, and they exhibit a rich variety of failure modes.\r\nThis paper discusses electrical power system fault diagnosis\r\nby means of probabilistic techniques. Speci\u0002cally, we discuss\r\nour development of a diagnostic capability for an electrical\r\npower system testbed, ADAPT, located at NASA Ames.\r\nWe emphasize how we have tackled two challenges, regarding\r\nmodelling and real-time performance, often encountered\r\nwhen developing diagnostic applications. We carefully discuss\r\nour Bayesian network modeling approach for electrical\r\npower systems. To achieve real-time performance, we build\r\non recent theoretically well-founded developments that compile\r\na Bayesian network into an arithmetic circuit. Arithmetic\r\ncircuits have low footprint and are optimized for embedded,\r\nreal-time systems such as spacecraft and aircraft.\r\nWe discuss our probabilistic diagnostic models developed for\r\nADAPT along with successful experimental results.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "description": "2008AAAI_Mengshoel_DiagnosingFaultsElectricalPowerSystems.pdf",
      "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/2008AAAI_Mengshoel_DiagnosingFaultsElectricalPowerSystems.pdf",
      "format": "PDF",
      "mediaType": "application/pdf",
      "title": "2008AAAI_Mengshoel_DiagnosingFaultsElectricalPowerSystems.pdf"
    }
  ],
  "identifier": "DASHLINK_865",
  "issued": "2013-12-18",
  "keyword": [
    "ames",
    "dashlink",
    "nasa"
  ],
  "landingPage": "https://c3.nasa.gov/dashlink/resources/865/",
  "modified": "2025-03-31",
  "programCode": [
    "026:029"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "Dashlink"
  },
  "title": "Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft"
}