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VERSION:2.0
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CALSCALE:GREGORIAN
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BEGIN:VEVENT
UID:4g7i3vd65kmc05mld7aoa2t00c@google.com
CATEGORIES:RTportal.ru
CREATED:20170606T092329
SUMMARY:Семинар СМиГО: Anomaly-to-failure Matching for Predictive Maintenance of Complex Systems
LOCATION:ИППИ РАН в 615 аудитории (6 этаж)
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:Докладчик: Евгений Бурнаев (совместная работа с Ерофеевым П.Д., Назаровым И
 .Н., Смоляковым Д.С.)<br/>Тема: Anomaly-to-failure Matching for Predictive 
 Maintenance of Complex Systems<br/><br/>Аннотация:<br/>Predictive analytics
  and modeling become more and more important for maintenance of complex tec
 hnical systems. Introduction of condition-based maintenance strategies in d
 ifferent industries significantly reduces overall maintenance costs and imp
 roves reliability. Modern complex technical systems, e.g. aircraft engines,
  are fully equipped with batches of sensors and detectors allowing for real
  time monitoring and diagnostics. Typically equipment falls into pre-failur
 e state starting with some minor flaws, e.g. cracks or leaks, that evolve i
 n time and lead up to critical failure events such as complete engine destr
 uction. Natural need of the maintenance engineers is to be able to identify
  this flaws as early as possible and thus try to prevent or even avoid crit
 ical events. Or at least be able to prepare for the event on time. In some 
 cases based on real time sensor observations it is possible to indirectly i
 dentify anomalies in system behavior related to the minor problems. That is
  where development of accurate and reliable mathematical models and tools c
 omes up to the stage. In some industries, e.g. aviation, it is crucial to h
 ave models with maximum predictive power and strictly limited false alarm r
 ate. In this presentation we specify generic validation framework for failu
 re prediction models and propose a novel exhaustive methodology for anomaly
 -to-failure matching. We prove effectiveness and reliability of the propose
 d methodology in the specified validation framework on the real test case f
 rom aerospace industry.<br/> This event was imported from: https://rtportal
 .ru/index.php/kalendar-sobytij/eventdetail/125/-/seminar-smigo-anomaly-to-f
 ailure-matching-for-predictive-maintenance-of-complex-systems?tmpl=componen
 t
DTSTAMP:20260812T211046Z
DTSTART;TZID=Europe/Moscow:20161115T183000
DTEND;TZID=Europe/Moscow:20161115T200000
SEQUENCE:0
TRANSP:OPAQUE
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