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Herausgeber: 
  • Ilia Frenkel
  • Lisnianski Anatoly
  • Cui Lirong
  • Stochastic Models in Reliability Engineering 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2020  
    Genre:  Schulbücher 
     
    acceptance sampling plans / applied probability models / Archimedean Copula / Bathtub Shaped Failure Rate / Bayesian reliability assessment / bn / BUSINESS & ECONOMICS / Quality Control / Clayton Copula
    ISBN:  9780367345853 
    EAN-Code: 
    9780367345853 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Advanced Research in Reliability and System Assurance Engineering  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  802 gr 
    Seiten:  464 
    Illustration:  schwarz-weiss Illustrationen, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, experiments, and applied probability and statistics.

      



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