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NIST · ИТ · 719d1288cb2cf0005c5c

719d1288cb2cf0005c5c · Artificial Intelligence Tools for Failure Event Data Management and Probability Risk Analysis for Failure Prevention

Artificial Intelligence Tools for Failure Event Data Management and Probability Risk Analysis for Failure Prevention

Over the last thirty years, much research has been done on the development of failure event databases and fatigue modeling of crack growth in pressure vessels and piping. According to a USNRC report (NUREG/CR6674, 2000), results of a fatigue crack growth

Официальный источник · 2009-10-25

Полные импортированные сведения карточки
{
  "title_en": "Artificial Intelligence Tools for Failure Event Data Management and Probability Risk Analysis for Failure Prevention",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2009-10-25",
  "date_original": "October 25, 2009",
  "url": "https://www.nist.gov/publications/artificial-intelligence-tools-failure-event-data-management-and-probability-risk",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Jeffrey T. Fong , Pedro V. Marcal",
  "abstract_excerpt_en": "Over the last thirty years, much research has been done on the development of failure event databases and fatigue modeling of crack growth in pressure vessels and piping. According to a USNRC report (NUREG/CR6674, 2000), results of a fatigue crack growth",
  "id": "719d1288cb2cf0005c5c",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Artificial Intelligence Tools for Failure Event Data Management and Probability Risk Analysis for Failure Prevention",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2009-10-25",
      "date_original": "October 25, 2009",
      "url": "https://www.nist.gov/publications/artificial-intelligence-tools-failure-event-data-management-and-probability-risk",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Jeffrey T. Fong , Pedro V. Marcal",
      "abstract_excerpt_en": "Over the last thirty years, much research has been done on the development of failure event databases and fatigue modeling of crack growth in pressure vessels and piping. According to a USNRC report (NUREG/CR6674, 2000), results of a fatigue crack growth"
    }
  ],
  "translation_state": "none"
}