Overview
Presents an interdisciplinary area focusing on the lifecycle characteristics of products
Uses three different mathematical tools to model and analyze the reliability of each system
Employs the credibility measure to assess random events
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book, to reflect the system’s diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance.
Authors and Affiliations
About the author
Dr. Ying Liu is currently a professor of the College of Artificial Intelligence and Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology, Tianjin, China. She earned Ph.D. Degree in Systems Engineering from Tianjin University in 2009. Her research interests include reliability mathematics, reliability data analysis and uncertainty decision. She has been awarded the second level talent of the “131” innovative training project, Tianjin young and middle-aged backbone innovative talent and Tianjin outstanding young teacher.
Bibliographic Information
Book Title: Reliability Theory Based on Uncertain Lifetimes
Authors: Ying Liu
DOI: https://doi.org/10.1007/978-981-16-0995-4
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: National Defense Industry Press 2021
Hardcover ISBN: 978-981-16-0994-7Published: 17 April 2021
Softcover ISBN: 978-981-16-0997-8Published: 17 April 2022
eBook ISBN: 978-981-16-0995-4Published: 16 April 2021
Edition Number: 1
Number of Pages: IX, 228
Number of Illustrations: 13 b/w illustrations, 2 illustrations in colour
Topics: Industrial and Production Engineering, Mathematical Modeling and Industrial Mathematics, Computational Intelligence