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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Modeling of systems and processes</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Modeling of systems and processes</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Моделирование систем и процессов</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2219-0767</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">76158</article-id>
   <article-id pub-id-type="doi">10.12737/2219-0767-2024-17-1-111-120</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Технические науки</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject></subject>
    </subj-group>
    <subj-group>
     <subject>Технические науки</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Modeling the process of diagnosing leaks based on a two-alternative hypothesis, taking into account interference from stochastic consumption in a hydraulic system</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Моделирование процесса диагностики утечек на основе двухальтернативной гипотезы с учетом помех от стохастичности потребления в гидравлической системе</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Сазонова</surname>
       <given-names>Светлана Анатольевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Sazonova</surname>
       <given-names>Svetlana Anatol'evna</given-names>
      </name>
     </name-alternatives>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Щербакова</surname>
       <given-names>Ирина Владимировна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Scherbakova</surname>
       <given-names>Irina Vladimirovna</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Сметанкина</surname>
       <given-names>Галина Июльевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Smetankina</surname>
       <given-names>Galina Июльевна</given-names>
      </name>
     </name-alternatives>
     <email>sgi1976@rambler.ru</email>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Воронежский государственный лесотехнический университет имени Г.Ф. Морозова</institution>
    </aff>
    <aff>
     <institution xml:lang="en">Voronezh State University of Forestry and Technologies named after G.F. Morozov</institution>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Московский международный университет</institution>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Moscow International University</institution>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2024-03-24T18:22:47+03:00">
    <day>24</day>
    <month>03</month>
    <year>2024</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-03-24T18:22:47+03:00">
    <day>24</day>
    <month>03</month>
    <year>2024</year>
   </pub-date>
   <volume>17</volume>
   <issue>1</issue>
   <fpage>111</fpage>
   <lpage>120</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-03-19T00:00:00+03:00">
     <day>19</day>
     <month>03</month>
     <year>2024</year>
    </date>
   </history>
   <self-uri xlink:href="https://zh-szf.ru/en/nauka/article/76158/view">https://zh-szf.ru/en/nauka/article/76158/view</self-uri>
   <abstract xml:lang="ru">
    <p>Рассмотрим математические модели и методы диагностики утечек в гидравлических трубопроводных системах. В составе поставленной задачи можно выделить две подзадачи: выявление факта наличия утечки на основе использования двухальтернотивной гипотезы, а также математических моделей определения места и размера утечки. Задача определения места и размера утечки достаточно подробно исследована. Внимание в данной работе уделено разработке алгоритмов диагностирования гидравлических систем на наличие утечки или на ее отсутствие. Предложено обе задачи решать, как комплексную задачу диагностики утечек для гидравлических трубопроводных систем. Программное обеспечение, созданное по результатам исследований, может быть использовано для автоматизированного управления и мониторинга гидравлических систем. На основе собранных данных о параметрах гидравлической системы, таких как давление, расход целевого продукта и т. д., может быть создана модель, которая может включать в себя распределения вероятностей, ожидаемые значения при вариации параметров. Решение конкретной задачи обнаружения утечек может варьироваться в зависимости от типа гидравлической системы. Основное внимание в этой работе уделяется обнаружению утечек на основе двухальтернативной гипотезы для определения факта существования утечки в гидравлической системе с учетом шума, создаваемого случайным отбором целевого продукта потреблением. Утечки классифицируются как естественные, возникающие в результате аварийных ситуаций и к утечкам относятся также несанкционированные отборы целевого продукта.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>Let's consider mathematical models and methods for diagnosing leaks in hydraulic pipeline systems. As part of the task, two subtasks can be distinguished: identifying the fact of a leak based on the use of a two-alternative hypothesis, as well as mathematical models for determining the location and size of the leak. The task of determining the location and size of the leak has been investigated in sufficient detail. Attention in this work is paid to the development of algorithms for diagnosing hydraulic systems for the presence or absence of leakage. It is proposed to solve both problems as a complex problem of leak diagnostics for hydraulic pipeline systems. The software created based on the results of the research can be used for automated control and monitoring of hydraulic systems. Based on the collected data on the parameters of the hydraulic system, such as pressure, consumption of the target product, etc., a model can be created that can include probability distributions, expected values for parameter variations. The solution to the specific problem of leak detection may vary depending on the type of hydraulic system. The main focus of this work is on leak detection based on a two-alternative hypothesis to determine the existence of a leak in a hydraulic system, taking into account the noise generated by the random selection of the target product by consumption. Leaks are classified as natural, resulting from emergency situations, and leaks also include unsanctioned selections of the target product.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>Гидравлические системы</kwd>
    <kwd>алгоритм диагностики утечки</kwd>
    <kwd>факт существования утечки</kwd>
    <kwd>стохастичность потребления целевого продукта</kwd>
    <kwd>фильтрация сигнала об утечке на фоне шума потребителей</kwd>
    <kwd>двухальтернативная гипотеза</kwd>
    <kwd>математические модели.</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>Hydraulic systems</kwd>
    <kwd>leakage diagnosis algorithm</kwd>
    <kwd>the fact of leakage</kwd>
    <kwd>stochasticity of consumption of the target product</kwd>
    <kwd>filtering of the leakage signal against the background of consumer noise</kwd>
    <kwd>two-alternative hypothesis</kwd>
    <kwd>mathematical models.</kwd>
   </kwd-group>
  </article-meta>
 </front>
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