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Titlebook: Analysis and Estimation of Stochastic Mechanical Systems; Werner Schiehlen,Walter Wedig Conference proceedings 1988 Springer-Verlag Wien 1

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期刊全称Analysis and Estimation of Stochastic Mechanical Systems
影响因子2023Werner Schiehlen,Walter Wedig
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学科分类CISM International Centre for Mechanical Sciences
图书封面Titlebook: Analysis and Estimation of Stochastic Mechanical Systems;  Werner Schiehlen,Walter Wedig Conference proceedings 1988 Springer-Verlag Wien 1
影响因子This book summarizes the developments in stochastic analysis and estimation. It presents novel applications to practical problems in mechanical systems. The main aspects of the course are random vibrations of discrete and continuous systems, analysis of nonlinear and parametric systems, stochastic modelling of fatigue damage, parameter estimation and identification with applications to vehicle road systems and process simulations by means of autoregressive models. The contributions will be of interest to engineers and research workers in industries and universities who want first hand information on present trends and problems in this topical field of engineering dynamics.
Pindex Conference proceedings 1988
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书目名称Analysis and Estimation of Stochastic Mechanical Systems读者反馈学科排名




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Conference proceedings 1988s. The main aspects of the course are random vibrations of discrete and continuous systems, analysis of nonlinear and parametric systems, stochastic modelling of fatigue damage, parameter estimation and identification with applications to vehicle road systems and process simulations by means of auto
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https://doi.org/10.1007/978-981-15-3098-2 analysed by spectral density or covariance methods, respectively. However, it is often cumbersome and difficult to obtain reliable information on the parameters of the total dynamical system. Therefore, parameter estimation methods have to be applied in vehicle dynamics for improved results.
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Single-Carrier Advanced Modulation Formats,atigue crack growth in real materials. The so called evolutionary probabilistic models, the stochastic differential equation model Cobtained via randomization of empirical equations) and random cumulative jump models recently proposed are shortly characterized.
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