Name: Reliability and Risk Analysis (What Every Engineer Should Know) (en Inglés)
Price: 162.53 USD
Availability: InStock
Author: Mohammad Modarres; Katrina Groth
ISBN: 9781032309736

portada Reliability and Risk Analysis (What Every Engineer Should Know) (en Inglés)

Reliability and Risk Analysis (What Every Engineer Should Know) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Mohammad Modarres; Katrina Groth

Idioma

Inglés

N° páginas

462

Encuadernación

Tapa Dura

ISBN13

9781032309736

N° edición

Reliability and Risk Analysis (What Every Engineer Should Know) (en Inglés)

Mohammad Modarres; Katrina Groth (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Reliability and Risk Analysis (What Every Engineer Should Know) (en Inglés)"

Completely updated for a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students at the undergraduate and graduate levels. Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines.What Every Engineer Should Know About Reliability and Risk Analysis, Second Edition, emphasizes an introduction and explanation of the practical methods used in reliability and risk studies, with a discussion of their uses and limitations. It offers basic and advanced methods in reliability analysis that are commonly used in daily practice and provides methods that address unique topics such as dependent failure analysis, importance analysis, and analysis of repairable systems. The book goes on to present a comprehensive overview of modern probabilistic life assessment methods such as Bayesian estimation, system reliability analysis, and human reliability. End-of-chapter problems and a solutions manual are available to support any course adoptions.This book is refined, simple, and focuses on fundamentals. The audience is the beginner with no background in reliability engineering and rudimentary knowledge of probability and statistics. It can be used by new practitioners, undergraduates, and first-year graduate students.