Computational Intelligence in Sustainable Reliability Engineering
eBook - PDF

Computational Intelligence in Sustainable Reliability Engineering

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Computational Intelligence in Sustainable Reliability Engineering

About this book

COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING

The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering.

This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations.

Audience

Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.

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Yes, you can access Computational Intelligence in Sustainable Reliability Engineering by S. C. Malik,Deepak Sinwar,Ashish Kumar,S. R. Gadde,Prasenjit Chatterjee,Bui Thanh Hung in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Quality Control in Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Acknowledgment
  7. Chapter 1 Reliability Indices of a Computer System with Priority and Server Failure
  8. Chapter 2 Mathematical Modeling and Availability Optimization of Turbine Using Genetic Algorithm
  9. Chapter 3 Development of Laplacian Artificial Bee Colony Algorithm for Effective Harmonic Estimator Design
  10. Chapter 4 Applications of Cuckoo Search Algorithm in Reliability Optimization
  11. Chapter 5 Series-Parallel Computer System Performance Evaluation with Human Operator Using Gumbel-Hougaard Family Copula
  12. Chapter 6 Applications of Artificial Intelligence in Sustainable Energy Development and Utilization
  13. Chapter 7 On New Joint Importance Measures for Multistate Reliability Systems
  14. Chapter 8 Inferences for Two Inverse Rayleigh Populations Based on Joint Progressively Type-II Censored Data
  15. Chapter 9 Component Reliability Estimation Through Competing Risk Analysis of Fuzzy Lifetime Data
  16. Chapter 10 Cost-Benefit Analysis of a Redundant System with Refreshment
  17. Chapter 11 Fuzzy Information Inequalities, Triangular Discrimination and Applications in Multicriteria Decision Making
  18. Chapter 12 Contribution of Refreshment Provided to the Server During His Job in the Repairable Cold Standby System
  19. Chapter 13 Stochastic Modeling and Availability Optimization of Heat Recovery Steam Generator Using Genetic Algorithm
  20. Chapter 14 Investigation of Reliability and Maintainability of Piston Manufacturing Plant
  21. Index
  22. EULA