SKU/Artículo: AMZ-1932078002

Reliability Engineering Handbook: Vol 1

Format:

Hardcover

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
1.11 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • · Comprehensive, systematic presentation · Theoretical foundations, analytical tools, and practical applications· Illustrated by numerous worked examples Coverage provided in Volume 1 includes the following:? Provides the important objectives of Reliability Engineering and covers the history of Reliability Engineering.? Defines Reliability Engineering in detail-quantifies the concepts of times-to-failure distributions, reliability, conditional reliability, failure rate and mean life and provides the necessary background in statistics. ? Examines the most frequently used distributions in Reliability Engineering: exponential, Weibull, normal, lognormal, extreme value, Rayleigh, and uniform.? Covers early, chance, and wearout reliability, as experienced in the three life periods of components, equipment, and systems. ? Combines the three types of life characteristics into a unified approach of quantifying the full-life behavior of components, equipment, and systems.? Provides five unique models for quantifying the reliability bathtub curve which enables the determination of the full-life behavior of components, equipment, and systems; their bum-in, breaking in, and debugging periods; their spare parts provisioning; their preventive maintenance schedules; and more VOLUME 2 Expanding on the coverage provided in Volume 1, Volume 2 does the following: ? Covers the prediction of equipment and system reliability for the series, parallel, standby, and conditional function configuration cases. ? Discusses the prediction of the reliability of complex components, equipment, and systems with multimode function and logic, multistress level of function, load sharing function mode, static switches, cyclic switches, and fault tree analysis. ? Includes five practical and comprehensive case histories of predicting equipment and system reliabilities and comparing them with their reliability goals.? Presents Drenick's theorem of complex and much more..
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