Overview

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-graduates of technical universities. It can also be useful to lecturers and mechanical engineers, including designers in different industries.

Full Product Details

Author:   Valery A. Svetlitsky ,  Nikolay Reshetov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2003 ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.830kg
ISBN:  

9783540442974

ISBN 10:   3540442979
Pages:   448
Publication Date:   07 January 2003
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Fundamentals of the Probability Theory and the Theory of Random Processes.- 1.1 Brief Information on the Probability Theory.- 1.2 The Distribution Function and the Probability Density of a Random Variable.- 1.3 Numerical Characteristics of Random Quantities and Their Principal Properties.- 1.4 Probability Density Distribution Laws.- 1.5 Determination of the Probability of a Normally Distributed Random Quantity Lying in the Given Range.- 1.7 Complex Random Quantities.- 1.8 Numerical Characteristics of Functions of Random Arguments.- 2. Non-Stationary Random Functions (Processes).- 2.1 Introduction.- 2.2 Probability Characteristics of Non-Stationary Random Functions.- 2.3 Random Function Systems and Their Probability Characteristics.- 2.4 Random Functions Linear Transformations.- 2.5 The Probabilistic Characteristics of the Linear Differential Equations at Non-Stationary Random Disturbances.- 3. Stationary Random Functions (Processes).- 3.1 Probability Characteristics of Stationary Random Functions.- 3.2 The Ergodic Property of a Stationary Random Function.- 3.3 Derivatives and Integrals of Stationary Functions.- 3.4 The Spectral Representation of Stationary Random Processes.- 3.5 Cross-Spectral Densities and their Properties.- 3.6 Determination of the Spectral Densities of the Linear Differential Equations with Constant Coefficients Solutions.- 4. Fundamentals of the Markov Processes Theory.- 4.1 Continuous One-Dimensional Markov Processes.- 4.2 The Fokker-Planck-Kolmogorov Equation.- 4.3 Multidimensional Markov Processes.- 4.4 Determination of the Probability of Attaining a Random Function Possible Values Area Boundaries.- 5. Random Vibrations of Systems with One Degree of Freedom.- 5.1 Free Random Vibrations of Linear Systems.- 5.2 Forced Random Vibrations of LinearSystems.- 5.3 Vibrations Caused by Random Kinematic Excitation.- 5.4 The Problem of Overshoots at Random Vibrations.- 5.5 Nonlinear Random Vibrations.- 6. Random Vibrations of Systems with Finite Number of Degrees of Freedom.- 6.1 Free Random Vibrations of Linear Systems.- 6.2 Vibrations at Random Pulse Loading.- 6.3 Non-Stationary Random Vibrations of Linear Systems.- 6.4 The Method of Principal Coordinates in Non-Stationary Vibrations Analysis.- 6.5 Forced Stationary Random Vibrations of Linear Systems.- 7. Random Vibrations of Strings; Longitudinal and Torsional Vibrations of Straight Rods.- 7.1 Introduction.- 7.2 Equations of Small Vibrations.- 7.3 Solving Equations of Small Vibrations.- 8. Random Vibrations of Rods.- 8.1 Nonlinear Equations of Motion of Three-Dimensional Curvilinear Rods.- 8.2 Equations of the Motion of a Rod in the Attached Coordinate System.- 8.3 Equation of Small Vibrations of Rods.- 8.4 Determination of Eigenvalues and Eigenvectors.- 8.5 Non-Stationary Random Vibrations of Rods.- 8.6 Stationary Random Vibrations of Rods.- 9. Fundamentals of Reliability Theory.- 9.1 Introduction.- 9.2 Elementary Problems of Reliability Theory.- 9.3 Possible Causes of Failures.- 9.4 Determination of Numerical Values of No-Failure Operation Probability (Reliability).- 9.5 Determination of Reliability at the Linear Dependence of a Stress State on Random Loads.- 9.6 Determination of the Probability of No-Failure Operation at the Nonlinear Dependence of the Random Quantity F on External Loads.- 10. Random Processes at the Action of Random Functions Bounded in Absolute Value.- 10.1 Introduction.- 10.2 Determining the Maximum Values of the Components of the Systems State Vector.- 10.3 Areas of Possible Values of the System State Vector at the Action of Independent Excitations.- 10.4 Projections of the Area of Possible Values of the System State Vector onto Two-Dimensional Planes.- 10.5 Determination of the Maximum Values of Dynamic Reactions.- 10.6 Areas of Possible Values of the System State Vector in the Case of Several Sections of Motion.- 10.7 Areas of Possible Values of the System State Vector at the Action of Dependent Random Excitations.- 10.8 Determination of the Maximum Values of Linear Functionals at Independent Excitations.- 10.9 Maximum Value of a Linear Functional at Dependent Excitations.- 10.10Vibration Protection of Mechanical Systems.- A. Appendices.- A.1 Elementary Generalized Functions.- A.3 Correlation Functions and Spectral Densities Corresponding to Them.- A.4 Hiawatha Designs an Experiment.- References.

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