Developments in Reliability Engineering
Sorozatcím: Advances in Reliability Science;
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10% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár EUR 285.00
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120 897 Ft (115 140 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (cc. 12 090 Ft off)
- Discounted price 108 807 Ft (103 626 Ft + 5% áfa)
120 897 Ft
Beszerezhetőség
Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadó Elsevier
- Megjelenés dátuma 2024. augusztus 12.
- ISBN 9780443132421
- Kötéstípus Puhakötés
- Terjedelem892 oldal
- Méret 228x152 mm
- Súly 450 g
- Nyelv angol 636
Kategóriák
Hosszú leírás:
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.
Tartalomjegyzék:
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
