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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front>
    <journal-meta>
      <journal-id journal-id-type="elibrary">https://www.elibrary.ru/title_about_new.asp?i</journal-id>
      <journal-title-group>
        <journal-title>Global Energy</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Глобальная энергия</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2782-6724</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">38</article-id>
      <title-group>
        <article-title>Automated system for the quantitative risk assessment and security of energy facilities  for the prediction and prevent accidents</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Автоматизированная система количественной оценки риска и безопасности  объектов энергетики для прогнозирования и предотвращения развития аварий</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Tumanov</surname>
            <given-names>Alexander</given-names>
          </name>
          <email>toumanov@mail.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-09-10">
        <day>10</day>
        <month>09</month>
        <year>2012</year>
      </pub-date>
      <issue>3</issue>
      <issue-id pub-id-type="publisher-id">154</issue-id>
      <issue-part>2</issue-part>
      <fpage>240</fpage>
      <lpage>249</lpage>
      <abstract xml:lang="en">
        <p>The task of preventing and anticipating adverse events (accidents, accidents, incidents, accidents) solved when using Automation, developed and implemented automated quantification of risk, which is the peer object-modular system support decision-making through analysis of subjectively-probabilistic kvazistatisti eskimi data and extract methods from empirical evidence and knowledge.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>SYSTEM AUTOMATION</kwd>
        <kwd>FORECASTING</kwd>
        <kwd>RISK OF HAZARDOUS ENERGY</kwd>
        <kwd>KNOWLEDGE BASE</kwd>
        <kwd>ACCIDENT</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
