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Reliability Engineering and Computational Intelligence

  • Book
  • © 2021

Overview

Editors:
  1. Coen van Gulijk

    1. Healthy Living, TNO, Leiden, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  2. Elena Zaitseva

    1. Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research in Reliability Engineering and Computational Intelligence
  • Presents the effectiveness of the combined use of reliability analysis methods and computational intelligence method both in reliability engineering, safety and in the field of computational intelligence
  • The book consists of two part “Reliability engineering” and “Computational intelligence” which illustrate the efficiency of the combination of these methods for each of these areas

Part of the book series: Studies in Computational Intelligence (SCI, volume 976)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-viii
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  2. Mathematical and Computational Intelligence Methods in Reliability Engineering

    1. Front Matter

      Pages 1-1
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    2. System Reliability Analysis and Assessment by Means of Logic Differential Calculus and Hasse Diagram

      • Nicolae Brinzei, Jean-François Aubry, Miroslav Kvassay, Elena Zaitseva
      Pages 3-21

    3. The Survival Signature for Quantifying System Reliability: An Introductory Overview from Practical Perspective

      • Frank P. A. Coolen, Tahani Coolen-Maturi
      Pages 23-37

    4. Application of Fuzzy Decision Tree for the Construction of Structure Function for System Reliability Analysis Based on Uncertain Data

      • Jan Rabcan, Peter Sedlacek, Igor Bolvashenkov, Jörg Kammermann
      Pages 39-54

    5. Unavailability Optimization of a System Undergoing a Real Ageing Process Under Failure Based PM

      • Radim Briš, Pavel Jahoda
      Pages 55-72

    6. Minimal Filtering Algorithms for Convolutional Neural Networks

      • Aleksandr Cariow, Galina Cariowa
      Pages 73-88

  3. Digital Technologies in Reliability Engineering

    1. Front Matter

      Pages 89-89
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    2. New Challenges and Opportunities in Reliability Engineering of Complex Technical Systems

      • Antoine Rauzy
      Pages 91-114

    3. Development of Structured Arguments for Assurance Case

      • Vladimir Sklyar, Vyacheslav Kharchenko
      Pages 115-132

    4. Making Reliability Engineering and Computational Intelligence Solutions SMARTER

      • Coen van Gulijk
      Pages 133-146

    5. Method for Determining the Structural Reliability of a Network Based on a Hyperconverged Architecture

      • Igor Ruban, Heorhii Kuchuk, Andriy Kovalenko, Nataliia Lukova-Chuiko, Vitalii Martovytsky
      Pages 147-163

    6. Database Approach for Increasing Reliability in Distributed Information Systems

      • Roman Ceresnak, Karol Matiasko
      Pages 165-177

    7. Time Dependent Reliability Analysis of the Data Storage System Based on the Structure Function and Logic Differential Calculus

      • Patrik Rusnak, Michal Mrena
      Pages 179-198

    8. Energy Efficiency for IoT

      • Andriy Luntovskyy, Bohdan Shubyn
      Pages 199-215

  4. Image Analysis and Other Applications of Computational Intelligence in Reliability Engineering

    1. Front Matter

      Pages 217-217
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    2. Knowledge-Based Multispectral Remote Sensing Imagery Superresolution

      • Sergey A. Stankevich, Iryna O. Piestova, Mykola S. Lubskyi, Sergiy V. Shklyar, Artur R. Lysenko, Oleg V. Maslenko et al.
      Pages 219-236

    3. Neural Network Training Acceleration by Weight Standardization in Segmentation of Electronic Commerce Images

      • V. Sorokina, S. Ablameyko
      Pages 237-244

    4. Waterproofing Membranes Reliability Analysis by Embedded and High-Throughput Deep-Learning Algorithm

      • Darya Filatova, Charles El-Nouty
      Pages 245-260

    5. Network of Autonomous Units for the Complex Technological Objects Reliable Monitoring

      • Oleksandr Chemerys, Oleksandr Bushma, Oksana Lytvyn, Alexei Belotserkovsky, Pavel Lukashevich
      Pages 261-274
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Keywords

About this book

Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field.  


This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology. 



Editors and Affiliations

  • Healthy Living, TNO, Leiden, The Netherlands

    Coen van Gulijk

  • Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia

    Elena Zaitseva

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