Computational Intelligence in Sustainable Reliability Engineering

Cover
Title Page
Copyright Page
Contents
Preface
Acknowledgment
Chapter 1 Reliability Indices of a Computer System with Priority and Server Failure
1.1 Introduction
1.2 Some Fundamentals
1.2.1 Reliability
1.2.2 Mean Time to System Failure (MTSF)
1.2.3 Steady State Availability
1.2.4 Redundancy
1.2.5 Semi-Markov Process
1.2.6 Regenerative Point Process
1.3 Notations and Abbreviations
1.4 Assumptions and State Descriptions
1.5 Reliability Measures
1.5.1 Transition Probabilities
1.5.2 MST
1.5.3 Reliability and MTCSF
1.5.4 Availability
1.5.5 Expected Number of Hardware Repairs
1.5.6 Expected Number of Software Upgradations
1.5.7 Expected Number of Treatments Given to the Server
1.5.8 Busy Period of Server Due to H/w Repair
1.5.9 Busy Period of Server Due to Software Upgradation
1.6 Profit Analysis
1.7 Particular Case
1.8 Graphical Presentation of Reliability Indices
1.9 Real-Life Application
1.10 Conclusion
References
Chapter 2 Mathematical Modeling and Availability Optimization of Turbine Using Genetic Algorithm
2.1 Introduction
2.2 System Description, Notations, and Assumptions
2.2.1 System Description
2.2.2 Notations
2.2.3 Assumptions
2.3 Mathematical Modeling of the System
2.4 Optimization
2.4.1 Genetic Algorithm
2.5 Results and Discussion
2.6 Conclusion
References
Chapter 3 Development of Laplacian Artificial Bee Colony Algorithm for Effective Harmonic Estimator Design
3.1 Introduction
3.2 Problem Formulation of Harmonics
3.3 Development of Laplacian Artificial Bee Colony Algorithm
3.3.1 Basic Concepts of ABC
3.3.2 The Proposed LABC Algorithm
3.4 Discussion
3.5 Numerical Validation of Proposed Variant
3.5.1 Comparative Analysis of LABC with Other Meta-Heuristics
3.5.2 Benchmark Test on CEC-17 Functions
3.6 Analytical Validation of Proposed Variant
3.6.1 Convergence Rate Test
3.6.2 Box Plot Analysis
3.6.3 Wilcoxon Rank Sum Test
3.6.4 Scalability Test
3.7 Design Analysis of Harmonic Estimator
3.7.1 Assessment of Harmonic Estimator Design Problem 1
3.7.2 Assessment of Harmonic Estimator Design Problem 2
3.8 Conclusion
References
Chapter 4 Applications of Cuckoo Search Algorithm in Reliability Optimization
4.1 Introduction
4.2 Cuckoo Search Algorithm
4.2.1 Performance of Cuckoo Search Algorithm
4.2.2 Levy Flights
4.2.3 Software Reliability
4.3 Modified Cuckoo Search Algorithm (MCS)
4.4 Optimization in Module Design
4.5 Optimization at Dynamic Implementation
4.6 Comparative Study of Support of Modified Cuckoo Search Algorithm
4.7 Results and Discussions
4.8 Conclusion
References
Chapter 5 Series-Parallel Computer System Performance Evaluation with Human Operator Using Gumbel-Hougaard Family Copula
5.1 Introduction
5.2 Assumptions, Notations, and Description of the System
5.2.1 Notations
5.2.2 Assumptions
5.2.3 Description of the System
5.3 Reliability Formulation of Models
5.3.1 Solution of the Model
5.4 Some Particular Cases Based on Analytical Analysis of the Model
5.4.1 Availability Analysis
5.4.2 Reliability Analysis
5.4.3 Mean Time to Failure (MTTF)
5.4.4 Cost-Benefit Analysis
5.5 Conclusions Through Result Discussion
References
Chapter 6 Applications of Artificial Intelligence in Sustainable Energy Development and Utilization
6.1 Energy and Environment
6.2 Sustainable Energy
6.3 Artificial Intelligence in Industry 4.0
6.4 Introduction to AI and its Working Mechanism
6.5 Biodiesel
6.6 Transesterification Process
6.7 AI in Biodiesel Applications
6.8 Conclusion
References
Chapter 7 On New Joint Importance Measures for Multistate Reliability Systems
7.1 Introduction
7.2 New Joint Importance Measures
7.2.1 Multistate Differential Joint Reliability Achievement Worth (MDJRAW)
7.2.2 Multistate Differential Joint Reliability Reduction Worth (MDJRRW)
7.2.3 Multistate Differential Joint Reliability Fussel-Vesely (MDJRFV) Measure
7.3 Discussion
7.4 Illustrative Example
7.5 Conclusion
References
Chapter 8 Inferences for Two Inverse Rayleigh Populations Based on Joint Progressively Type-II Censored Data
8.1 Introduction
8.2 Model Description
8.3 Classical Estimation
8.3.1 Maximum Likelihood Estimation
8.3.2 Asymptotic Confidence Interval
8.4 Bayesian Estimation
8.4.1 Tierney-Kadane’s Approximation
8.4.2 Metropolis-Hastings Algorithm
8.4.3 HPD Credible Interval
8.5 Simulation Study
8.6 Real-Life Application
8.7 Conclusions
References
Chapter 9 Component Reliability Estimation Through Competing Risk Analysis of Fuzzy Lifetime Data
9.1 Introduction
9.2 Fuzzy Lifetime Data
9.2.1 Fuzzy Set
9.2.2 Fuzzy Numbers and Membership Function
9.2.3 Fuzzy Event and its Probability
9.3 Modeling with Fuzzy Lifetime Data in Presence of Competing Risks
9.4 Maximum Likelihood Estimation with Exponential Lifetimes
9.4.1 Bootstrap Confidence Interval
9.5 Bayes Estimation
9.5.1 Highest Posterior Density Confidence Estimates
9.6 Numerical Illustration
9.6.1 Simulation Study
9.6.2 Reliability Analysis Using Simulated Data
9.7 Real Data Study
9.8 Conclusion
References
Chapter 10 Cost-Benefit Analysis of a Redundant System with Refreshment
10.1 Introduction
10.2 Notations
10.3 Average Sojourn Times and Probabilities of Transition States
10.4 Mean Time to Failure of the System
10.5 Steady-State Availability
10.6 The Period in Which the Server is Busy With Inspection
10.7 Expected Number of Visits for Repair
10.8 Expected Number of Refreshments
10.9 Particular Case
10.10 Cost-Benefit Examination
10.11 Discussion
10.12 Conclusion
References
Chapter 11 Fuzzy Information Inequalities, Triangular Discrimination and Applications in Multicriteria Decision Making
11.1 Introduction
11.2 New f-Divergence Measure on Fuzzy Sets
11.3 New Fuzzy Information Inequalities Using Fuzzy New f-Divergence Measure and Fuzzy Triangular Divergence Measure
11.4 Applications for Some Fuzzy f-Divergence Measures
11.5 Applications in MCDM
11.5.1 Case Study
11.6 Conclusion
References
Chapter 12 Contribution of Refreshment Provided to the Server During His Job in the Repairable Cold Standby System
12.1 Introduction
12.2 The Assumptions and Notations Used to Solve the System
12.3 The Probabilities of States Transitions
12.4 Mean Sojourn Time
12.5 Mean Time to Failure of the System
12.6 Steady-State Availability
12.7 Busy Period of the Server Due to Repair of the Failed Unit
12.8 Busy Period of the Server Due to Refreshment
12.9 Estimated Visits Made by the Server
12.10 Particular Cases
12.11 Profit Analysis
12.12 Discussion
12.13 Conclusion
12.14 Contribution of Refreshment
12.15 Future Scope
References
Chapter 13 Stochastic Modeling and Availability Optimization of Heat Recovery Steam Generator Using Genetic Algorithm
13.1 Introduction
13.2 System Description, Notations, and Assumptions
13.2.1 System Description
13.2.2 Notations
13.2.3 Assumptions
13.3 Mathematical Modeling of the System
13.4 Availability Optimization of Proposed Model
13.5 Results and Discussion
13.6 Conclusion
References
Chapter 14 Investigation of Reliability and Maintainability of Piston Manufacturing Plant
14.1 Introduction
14.2 System Description and Data Collection
14.3 Descriptive Analysis
14.4 Power Law Process Model
14.5 Trend and Serial Correlation Analysis
14.6 Reliability and Maintainability Analysis
14.7 Conclusion
References
Index
EULA