Developments in Reliability Engineering

1st Edition - August 9, 2024
Imprint: Elsevier
Editor: Mangey Ram
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 2 4 2 - 1
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 2 4 1 - 4

Modern systems have become increasingly complex to design and build, while the demand for reliability and cost-effective enhancement continues. Robust international competition ha… Read more

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Modern systems have become increasingly complex to design and build, while the demand for reliability and cost-effective enhancement continues. Robust international competition has further intensified the need for all designers, managers, practitioners, scientists, and engineers to ensure a level of reliability of their products and processes before release at the lowest cost.

Developments in Reliability Engineering equips its audience with the necessary information to keep up with the latest original research and state-of-the-art advances in reliability engineering. The volume offers an excursus from historical theories and methods to the present-world practical utility of these concepts with worked-out examples.

Cover image
Title page
Table of Contents
Copyright
Contributors
Chapter 1 Experiences and advances in reliability in retail projects
Abstract
Acknowledgments
1.1 Introduction
1.2 Materials and methods
1.3 Risk identification approach for system reliability
1.4 Fostering a homogeneous approach for retail stores
1.5 Trends and opportunities on AI and reliability retail
1.6 Summary and conclusion
References
Chapter 2 Reliability for robotic assembly under uncertainties,
Abstract
Acknowledgment
2.1 Introduction
2.2 System uncertainties in assembly operations
2.3 Robot control system
2.4 Force sensing implementation
2.5 Quantifying system accuracy/uncertainty
2.6 Reliability in chamferless and chamfered assemblies
2.7 Conclusions
References
Chapter 3 Quality control and inspection reliability of the PCB manufacturing process through convolutional networks
Abstract
3.1 Introduction
3.2 Background
3.3 PCB manufacturing and case study
3.4 Quality control
3.5 Data base and vision system
3.6 The CNN architecture
3.7 Data set segmentation, training, and coding
3.8 Reliability results
3.9 Conclusions and envisaged future work
References
Chapter 4 Review on mechanical system reliability models
Abstract
4.1 Introduction
4.2 System classification
4.3 Factors influencing system reliability
4.4 On the compatibility of assumptions applied for system reliability modeling
4.5 Static reliability model
4.6 Time-dependent reliability model
4.7 Reliability modeling of multistate systems
4.8 Reliability allocation methods and models
4.9 Summary
Innovations
References
Chapter 5 AI approach to fault big data analysis for OSS recovery
Abstract
Acknowledgment
5.1 Introduction
5.2 Deep learning modeling based on the assignee effort data
5.3 Numerical examples
5.4 Conclusion
References
Chapter 6 Studying the limits of the application of fatigue damage accumulation linear hypothesis: The review and the physical approach
Abstract
Acknowledgment
6.1 Introduction
6.2 Literature review
6.3 Method
6.4 Further remarks
6.5 Conclusions
References
Chapter 7 Multistate systems reliability engineering in the maritime industry
Abstract
7.1 Introduction
7.2 Availability modeling
7.3 Seawater inlet system availability modeling
7.4 System availability results
7.5 Conclusions and future work
Appendix
References
Chapter 8 Modified repair quality index for complex repairable systems
Abstract
8.1 Introduction and literature survey
8.2 Factors affecting REI
8.3 Modified REI: Model and methodology
8.4 Analysis and discussion
8.5 Solved example
8.6 Economic and commercial impact of research
8.7 Chapter's contribution with present literature
8.8 Limitations of study and future scope
8.9 Chapter summary
References
Chapter 9 System reliability methods of complex coal-fired thermal power plant in the western Balkan countries: A critical review
Abstract
9.1 Introduction, basic terms, and definitions
9.2 Criteria, indicators, and basic settings of reliability and availability management during the lifetime of the thermal power plant
9.3 Characteristics and indicators of energy systems in the Western Balkan countries
9.4 Overview of previous research on the reliability of thermal power plants in Western Balkan countries
9.5 Theoretical considerations related to the reliability of condensation thermal power plants as component elements of electrical energy systems
9.6 Discussion and critical review of previous research on the reliability of thermal power plants in the Western Balkans area
9.7 Final considerations
References
Chapter 10 Influence of condition diagnostics models on the reliability of industrial production systems: A critical review
Abstract
10.1 Introduction
10.2 Basic terms
10.3 Overview of previous research on the effect of maintenance on the efficiency of industrial systems
10.4 Conclusion
References
Chapter 11 Multistate-weighted systems and consecutive-type-weighted systems: An overview and some applications
Abstract
11.1 Introduction
11.2 Multistate-weighted k-out-of-n structures
11.3 Consecutive-type-weighted reliability structures
11.4 Discussion
References
Chapter 12 Time-varying robust reliability-based design optimization
Abstract
Acknowledgments
12.1 Introduction
12.2 Introduction of time-varying RBRDO
12.3 Time-varying reliability analysis based on extreme value moment method
12.4 Time-varying reliability prediction based on domain adaptation and Kriging surrogate model
12.5 Time-varying RBRDO model with time-varying probabilistic constraints
12.6 Cantilever beam example discussion
12.7 Conclusion
References
Chapter 13 Reliability and availability simulation
Abstract
13.1 Introduction
13.2 System simulation
13.3 Generation of random numbers
13.4 Reliability simulation of a single-component system
13.5 Reliability simulation of a two-component system
13.6 Reliability simulation of a k/N system
13.7 Generation of random variates having Weibull distribution
13.8 Reliability simulation of a complex system
13.9 Availability simulation of a single-component system
13.10 Availability simulation of a two-component parallel system
13.11 Concluding remarks
References
Chapter 14 Availability analysis of non-Markovian models with rejuvenation and checkpointing
Abstract
14.1 Introduction
14.2 Modeling
14.3 Analysis
14.4 Numerical illustration
14.5 Summary
References
Chapter 15 Replacement models with fixed and random replacement times
Abstract
15.1 Introduction
15.2 Replacement model with fixed replacement time [8]
15.3 Replacement model with RRT [40]
15.4 Conclusions
References
Chapter 16 Machine learning-based cure model in engineering reliability
Abstract
Funding
16.1 Introduction
16.2 Methods
16.3 Simulation study and results
16.4 Illustrative example: Analysis of reliability data
16.5 Conclusion
References
Chapter 17 An analysis of one-shot devices with multiple components
Abstract
17.1 Introduction
17.2 Competing-risks models
17.3 Copula models
17.4 Gamma frailty models
17.5 Illustrative examples
17.6 Concluding remarks
References
Chapter 18 Reliability and availability evaluation of cloud data center infrastructure
Abstract
18.1 Introduction
18.2 Fundamental concepts
18.3 Modeling techniques
18.4 Case study I—Availability evaluation of system service hosted in private cloud data centers
18.5 Case study II—A performance modeling for MS-based cloud infrastructures
18.6 Case study III—Availability modelling for edge-fog-cloud continuum
18.7 Final comments
References
Chapter 19 Survey of software reliability assessment tools
Abstract
19.1 Introduction
19.2 Early software reliability assessment tools
19.3 Current software reliability assessment tools
19.4 Conclusion and future scope
References
Chapter 20 On the quality of maintenance: The forgotten issue
Abstract
Acknowledgment
20.1 Introduction
20.2 Mixture modeled by a defective distribution
20.3 Mixtures of nonhomogeneous Poisson processes
20.4 Conclusions
References
Chapter 21 G-star-shaped degrading processes: The closure property of multistate systems and the minimum property in the binary-state Weibull case
Abstract
21.1 Introductory preliminaries
21.2 A multistate system
21.3 Minimum and closure properties of a binary-state system
21.4 Concluding remarks
References
Chapter 22 Life testing plan for electronic components based on design of experiments
Abstract
22.1 Introduction
22.2 Basic concepts of reliability and accelerated life test
22.3 Reliability prediction method from reliability database
22.4 Design of experiments
22.5 Reliability testing
22.6 Reliability case study: multilayer ceramic capacitors (MLCCs) in active implantable medical devices (AIMDs)
22.7 Conclusion
References
Chapter 23 Overview of the algebraic reliability of binary and multistate k-out-of-n and related systems
Abstract
23.1 Introduction
23.2 Algebraic reliability of multistate systems
23.3 Algebraic reliability of k-out-of-n systems
23.4 Conclusions
References
Chapter 24 Overview and comparison of reliability analysis techniques based on multifidelity Gaussian processes
Abstract
Acknowledgments
24.1 Introduction
24.2 Active learning for reliability analysis based on Gaussian processes in the context of single-fidelity codes
24.3 Reliability analysis techniques based on active multifidelity Gaussian processes
24.4 Comparison of multifidelity reliability analysis techniques on analytical and simplified-physics application cases
24.5 Application of multifidelity reliability analysis on a strut-braced wing aerodynamic problem
24.6 Concluding remarks
Appendix Benchmark setup
References
Chapter 25 Intelligent reliability-based design optimization: Past and future research trends
Abstract
25.1 Introduction
25.2 Systems uncertainties
25.3 Uncertainty-based design optimization
25.4 Uncertainty-based multidisciplinary design optimization
25.5 Surrogate-assisted reliability-based design optimization (SARBDO)
25.6 Artificial intelligence and machine learning application in RBDO
25.7 Summary and future remarks
References
Chapter 26 Gray Wolf Optimizer: A powerful, nature-inspired technique for system reliability optimization
Abstract
26.1 Introduction
26.2 Nature-inspired techniques
26.3 Problems solved
26.4 Conclusions, research challenges, and future scope
References
Index

Mangey Ram

Prof. Mangey Ram received his Ph.D. in Mathematics (major) and Computer Science (minor) from the G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a faculty member for ca. 15 years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Research Professor at Graphic Era (deemed to be University), Dehradun, India and a Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia.

He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals.

His fields of research are reliability theory and applied mathematics.

Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award” by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award” in 2011; “Research Excellence Award” in 2015; and “Outstanding Researcher Award” in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award” from the Honourable Chief Minister of the Uttarakhand State, India.

Affiliations and expertise

Department of Mathematics, Computer Science and Engineering, Graphic Era (deemed to be University), Dehradun, India

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