Statistical Dynamics and Reliability Theory for Mechanical Structures
Authors: Svetlitsky, Valery A.
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- About this book
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The theory of random processes is an integral part of the analysis and synthesis of complex engineering systems. This textbook systematically presents the fundamentals of statistical dynamics and reliability theory. The theory of Markovian processes used during the analysis of random dynamic processes in mechanical systems is described in detail. Examples are machines, instruments and structures loaded with perturbations. The reliability and lifetime of those objects depend on how properly these perturbations are taken into account. Random vibrations with finite and infinite numbers of degrees of freedom are analyzed as well as the theory and numerical methods of non-stationary processes under the conditions of statistical indeterminacy. This textbook is addressed to students and post-graduate of technical universities. It can be also useful to lecturers and mechanical engineers, including designers in different industries.
- Table of contents (11 chapters)
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Introduction
Pages 1-9
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Fundamentals of the Probability Theory and the Theory of Random Processes
Pages 11-43
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Non-Stationary Random Functions (Processes)
Pages 45-71
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Stationary Random Functions (Processes)
Pages 73-100
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Fundamentals of the Markov Processes Theory
Pages 101-129
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Table of contents (11 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Statistical Dynamics and Reliability Theory for Mechanical Structures
- Authors
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- Valery A. Svetlitsky
- Translated by
- Reshetov, N.
- Series Title
- Foundations of Engineering Mechanics
- Copyright
- 2003
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-45826-5
- DOI
- 10.1007/978-3-540-45826-5
- Hardcover ISBN
- 978-3-540-44297-4
- Softcover ISBN
- 978-3-642-53657-1
- Series ISSN
- 1612-1384
- Edition Number
- 1
- Number of Pages
- XII, 448
- Topics
