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Kumar / Bhandari / Ram

Reliability Assessment and Optimization of Complex Systems

Medium: Buch
ISBN: 978-0-443-29112-8
Verlag: Elsevier Science
Erscheinungstermin: 05.11.2024
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Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.

There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance).

Produkteigenschaften

  • Artikelnummer: 9780443291128
  • Medium: Buch
  • ISBN: 978-0-443-29112-8
  • Verlag: Elsevier Science
  • Erscheinungstermin: 05.11.2024
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2024
  • Produktform: Kartoniert
  • Gewicht: 771 g
  • Seiten: 488
  • Format (B x H x T): 155 x 229 x 25 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Akshay Kumar holds B.Sc. and M.Sc. degrees from Chaudhary Charan Singh University, Meerut, India (2010, 2012), and earned his Ph.D. majoring in Mathematics with a minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India, in 2017. He serves as an Assistant Professor in Mathematics at Graphic Era Hill University, Dehradun, India, leveraging over 5 years of teaching experience. With a substantial reviewing role across 35+ international journals, including Elsevier, Springer, Emerald, MDPI, and more, he has authored 60+ research papers in reputable journals like Communications in Statistics, Emerald, Inderscience, and many others. He has also edited 2 books with international publishers like River Publisher and IGI Global Publisher. His research spans reliability theory, fuzzy reliability, signature reliability, and applied Mathematics.

Dr. Ashok Singh Bhandari holds BSc and MSc degrees in Science from Hemwati Nandan Bahuguna Garhwal University, Srinagar, India (2013, 2015), and a Ph.D. in Mathematics from Graphic Era (Deemed to be University), Dehradun, India (2022). Currently an Assistant Professor in the Mathematics Department at Graphic Era Hill University, Dehradun, he boasts over 6 years of teaching experience. With a track record as a regular Reviewer for 6+ international journals such as Emerald, MDPI, River Publisher, and IGI Global Publisher, he has authored 9+ research papers in distinguished journals like Emerald, Inderscience, IGI Global Publisher, Springer Nature, World Scientific, and Wiley. His contributions extend to presentations at esteemed national and international conferences, centering around reliability theory and optimization.

1. A Comparative Study of Direct and Inverse Reliability Methods Applied to the Design of Robotic Manipulators
2. Consecutive-type coherent systems with cold standby redundancy at system level: advances and applications
3. Optimal design of accelerated life tests under multiple correlated covariates for reliability optimization
4. Joint optimization of cost and reliability indices in complex systems through maintenance scheduling and human resource allocation: A mixed approach of cellular automata and discrete-event simulation
5. Optimality assessment of energy infrastructure for system safety and reliability empowering: Case Study a Metropolitan city
6. Reliability and Component Importance of Non-Series Parallel System using Survival Signature
7. Optimal System Designing for Grid energy system using RRAP with Mayfly Optimization Algorithm
8. Reliability Assessment of X-ray Baggage Inspection Systems: Safeguarding Transport Hubs against Threats
9. Optimizing Reliability of Off-Grid Solar Power System in Households Through Cuckoo Search Algorithm
10. AHP Based Determination of Critical Testing Coverage Measures For Reliable & Complex Software Systems
11. FTA principles and application
12. Reliability Analysis of Cybersecurity using Fuzzy Fault Tree

13. Intuitionistic Fuzzy Reliability Assessment of a Wind Turbine Generator
14. Necessity of fuzzy logic: trends in software reliability assessment
15. Reliability Analysis of Interconnection Networks: A Comprehensive Review of Shuffle-exchange, Benes, and Gamma Networks
16. A Bayesian Analysis of a Discrete Parametric Markov Chain Model of Two Identical Unit Warm Standby System Subject to Regular and Expert Repair Facility
17. Analysis of Sensor Reliability in IoT Solutions
18. Optimal Design of a Reinforced Concrete Beam Considering Uncertainties
19. Reliability Based Design Optimization for Cyber Survivability
20. Determining Optimum Inspection Interval of Critical Railway Rolling Stock Components using Discrete Chain Markov Modelling