Treffer: System Reliability Theory: Models, Statistical Methods, and Applications

Title:
System Reliability Theory: Models, Statistical Methods, and Applications
Contributors:
Norwegian University of Science and Technology Trondheim (NTNU), Norwegian University of Science and Technology = Norges Teknisk-Naturvitenskapelige Universitet = Norjan teknis-luonnontieteellinen yliopisto (NTNU), CentraleSupélec, Université Paris-Saclay, Laboratoire Génie Industriel (LGI), CentraleSupélec-Université Paris-Saclay, Chair Risk and Resilience of Complex Systems
Source:
https://centralesupelec.hal.science/hal-05432460 ; Wiley, 1, 2020, Wiley Series in Probability and Statistics, 9781119373520. ⟨10.1002/9781119373940⟩.
Publisher Information:
CCSD
Wiley
Publication Year:
2020
Document Type:
Buch book
Language:
English
ISBN:
978-1-119-37352-0
1-119-37352-2
DOI:
10.1002/9781119373940
Accession Number:
edsbas.E7E31370
Database:
BASE

Weitere Informationen

International audience ; Handbook and reference for industrial statisticians and system reliability engineers System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated. System Reliability Theory covers a broad and deep array of system reliability topics, including: · In depth discussion of failures and failure modes · The main system reliability assessment methods · Common-cause failure modeling · Deterioration modeling · Maintenance modeling and assessment using Python code · Bayesian probability and methods · Life data analysis using R Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers. Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.