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Reliability Theory Based on Uncertain Lifetimes [electronic resource] / by Ying Liu.

By: Liu, Ying [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: IX, 228 p. 15 illus., 2 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811609954.Subject(s): Industrial engineering | Production engineering | Mathematical models | Computational intelligence | Industrial and Production Engineering | Mathematical Modeling and Industrial Mathematics | Computational IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
Uncertainty Mathematics -- Unrepairable Systems Based on Stochastic Lifetimes -- Unrepairable Systems Based on Fuzzy Lifetimes -- Unrepairable Systems Based on Random Fuzzy Lifetimes -- Repairable Systems Based on Stochastic Lifetimes and Repair Times -- Repairable Systems Based on Random Fuzzy Lifetimes and Repair Times.
In: Springer Nature eBookSummary: 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. .
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Uncertainty Mathematics -- Unrepairable Systems Based on Stochastic Lifetimes -- Unrepairable Systems Based on Fuzzy Lifetimes -- Unrepairable Systems Based on Random Fuzzy Lifetimes -- Repairable Systems Based on Stochastic Lifetimes and Repair Times -- Repairable Systems Based on Random Fuzzy Lifetimes and Repair Times.

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. .

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