Product details:
ISBN13: | 9780443132421 |
ISBN10: | 0443132429 |
Binding: | Paperback |
No. of pages: | 892 pages |
Size: | 228x152 mm |
Weight: | 450 g |
Language: | English |
678 |
Category:
Mechanical Engineering Sciences
Engineering sciences
Hardware and operating systems in general
Operating systems and graphical user interfaces
Industrial interests and security issues
Service industry, commerce
Management, corporate management
More books in the field of economy
Further readings in the field of technology
Mechanical Engineering Sciences (charity campaign)
Engineering sciences (charity campaign)
Hardware and operating systems in general (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Industrial interests and security issues (charity campaign)
Service industry, commerce (charity campaign)
Management, corporate management (charity campaign)
More books in the field of economy (charity campaign)
Further readings in the field of technology (charity campaign)
Developments in Reliability Engineering
Series:
Advances in Reliability Science;
Publisher: Elsevier
Date of Publication: 12 August 2024
Normal price:
Publisher's listprice:
EUR 285.00
EUR 285.00
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97 196 (92 568 HUF + 5% VAT )
discount is: 20% (approx 24 299 HUF off)
Discount is valid until: 31 December 2024
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Long description:
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.
Table of Contents:
1. Experiences and advances on reliability in retail projects
2. Reliability for robotic assembly under uncertainties
3. Quality control and inspection reliability of the PCB manufacturing process through convolution networks
4. Review on mechanical system reliability models
5. AI approach to fault big data analysis for OSS recovery
6. Studying the limits of the application of fatigue damage accumulation linear hypothesis: The review and the physical
7. Multistate systems reliability engineering in the maritime industry
8. Modified repair quality index for complex repairable systems
9. System reliability methods of complex coal-fired power plants in the western Balkans countries: A critical review
10. Influence of condition diagnostics models on the reliability of industrial production systems: A critical review
11. Multistate-weighted systems and consecutive-type-weighted systems: An overview and some applications
12. Time-varying robust reliability-based design optimization
13. Reliability and availability simulation
14. Availability analysis of non-Markovian models with rejuvenation and checkpointing
15. Replacement models with fixed and random replacement times
16. Machine learning-based cure model in engineering reliability
17. An analysis of one-shot devices with multiple components
18. Reliability and availability evaluation of cloud data center Infrastructure
19. Survey of software reliability assessment tools
20. On the quality of maintenance: The forgotten issue
21. G-Star-shaped degrading processes: The closure property of multistate systems and the minimum property in the binary-state Weibull case
22. Life testing plan for electronic components based on design of experiments
23. Overview of the algebraic reliability of binary and multistate k-out-of-n and related systems
24. Overview and comparison of reliability analysis techniques based on multifidelity Gaussian processes
25. Intelligent reliability-based design optimization: Past and future research trends
26. Grey Wolf Optimizer: A powerful, nature inspired technique for system reliability optimization
2. Reliability for robotic assembly under uncertainties
3. Quality control and inspection reliability of the PCB manufacturing process through convolution networks
4. Review on mechanical system reliability models
5. AI approach to fault big data analysis for OSS recovery
6. Studying the limits of the application of fatigue damage accumulation linear hypothesis: The review and the physical
7. Multistate systems reliability engineering in the maritime industry
8. Modified repair quality index for complex repairable systems
9. System reliability methods of complex coal-fired power plants in the western Balkans countries: A critical review
10. Influence of condition diagnostics models on the reliability of industrial production systems: A critical review
11. Multistate-weighted systems and consecutive-type-weighted systems: An overview and some applications
12. Time-varying robust reliability-based design optimization
13. Reliability and availability simulation
14. Availability analysis of non-Markovian models with rejuvenation and checkpointing
15. Replacement models with fixed and random replacement times
16. Machine learning-based cure model in engineering reliability
17. An analysis of one-shot devices with multiple components
18. Reliability and availability evaluation of cloud data center Infrastructure
19. Survey of software reliability assessment tools
20. On the quality of maintenance: The forgotten issue
21. G-Star-shaped degrading processes: The closure property of multistate systems and the minimum property in the binary-state Weibull case
22. Life testing plan for electronic components based on design of experiments
23. Overview of the algebraic reliability of binary and multistate k-out-of-n and related systems
24. Overview and comparison of reliability analysis techniques based on multifidelity Gaussian processes
25. Intelligent reliability-based design optimization: Past and future research trends
26. Grey Wolf Optimizer: A powerful, nature inspired technique for system reliability optimization