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).
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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
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Includes the latest research in the area of reliability optimization and system design, applying the latest methodologies, approaches, and recently developed metaheuristics
Explains the process and application of reliability-based design optimization
Covers many metaheuristic approaches such as reliability, cost, and the MTTF of the system
Provides the workings and applications of multi-objective optimizations
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Produktdetaljer
ISBN
9780443291128
Publisert
2024-11-05
Utgiver
Elsevier - Health Sciences Division
Vekt
790 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
488