𝔖 Scriptorium
✦   LIBER   ✦

📁

Random Processes: Measurement, Analysis and Simulation

✍ Scribed by JOZEF ČAČKO, MATĚJ BÍLÝ and JURAJ BUKOVECZKY (Eds.)


Publisher
Elsevier Science Ltd
Year
1988
Tongue
English
Leaves
240
Series
Fundamental Studies in Engineering 8
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book covers the basic topics associated with the measurement, analysis and simulation of random environmental processes which are encountered in practice when dealing with the dynamics, fatigue and reliability of structures in real environmental conditions. The treatment is self-contained and the authors have brought together and integrated the most important information relevant to this topic in order that the newcomer can see and study it as a whole. This approach should also be of interest to experienced engineers from fatigue laboratories who want to learn more about the possible methods of simulation, especially for use in real time on electrohydraulic computer-controlled loading machines. Problems of constructing a measuring system are dealt with in the first chapter. Here the authors discuss the choice of measuring conditions and locations, as well as the organization of a chain of devices for measuring and recording random environmental processes. Some experience gained from practical measurements is also presented. The recorded processes are further analysed by various methods. The choice is governed by the aims of the measurements and applications of the results

✦ Table of Contents


Content:
Fundamental Studies in Engineering
Page ii

Front Matter
Page iii

Copyright page
Page iv

Preface
Pages vii-ix
Authors

1 - Environmental Processes, their Measurement and Recording
Pages 1-21

2 - Evaluation of Random Process Properties
Pages 22-96

3 - Simulation of Random Processes
Pages 97-224

4 - Conclusions
Pages 225-229

References
Pages 230-231

Subject Index
Pages 232-234


📜 SIMILAR VOLUMES


Random data : analysis and measurement p
✍ Julius S Bendat; Allan G Piersol 📂 Library 📅 2010 🏛 Wiley 🌐 English

''First published in 1971, Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This Fourth Edition features coverage of new developments in random data management and analysis procedures that are applicable to a broad

Probability, Random Processes, and Stati
✍ Hisashi Kobayashi, Brian L. Mark, William Turin 📂 Library 📅 2011 🏛 Cambridge University Press 🌐 English

Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities,

Random Data: Analysis and Measurement Pr
✍ Julius S. Bendat, Allan G. Piersol(auth.) 📂 Library 📅 2010 🌐 English

<b>A timely update of the classic book on the theory and application of random data analysis</b><p> First published in 1971, <i>Random Data</i> served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This <i>Fourth Edition</i> featur

Field Guide to Probability, Random Proce
✍ Larry C. Andrews, Ronald L. Phillips 📂 Library 📅 2012 🏛 SPIE Press 🌐 English

Mathematical theory developed in basic courses in engineering and science usually involves deterministic phenomena, and such is the case in solving a differential equation that describes some linear system where both the input and output are deterministic quantities. In practice, however, the input

Process Dynamics: Modeling, Analysis and
✍ B. Wayne Bequette 📂 Library 📅 1998 🏛 Prentice Hall 🌐 English

Modeling, analysis and simulation of chemical processes is increasingly central to the work of chemical engineers - but it is rarely covered in depth in process design guides. This book fills that gap. It is a comprehensive introduction to process modeling and dynamics using the powerful MATLAB and