Uncertainty Analysis For Engineers And Scientists

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Uncertainty Analysis for Engineers and Scientists

Faith A. Morrison
Uncertainty Analysis for Engineers and Scientists Book PDF

Author : Faith A. Morrison
Publisher : Cambridge University Press
Page : 389 pages
File Size : 45,5 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781108478359

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Uncertainty Analysis for Engineers and Scientists by Faith A. Morrison Pdf

Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.

Experimentation, Validation, and Uncertainty Analysis for Engineers

Hugh W. Coleman,W. Glenn Steele
Experimentation Validation and Uncertainty Analysis for Engineers Book PDF

Author : Hugh W. Coleman,W. Glenn Steele
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 51,5 Mb
Release : 2018-05-08
Category : Technology & Engineering
ISBN : 9781119417514

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Experimentation, Validation, and Uncertainty Analysis for Engineers by Hugh W. Coleman,W. Glenn Steele Pdf

Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Bilal M. Ayyub,Madan M. Gupta
Uncertainty Analysis in Engineering and Sciences Fuzzy Logic Statistics and Neural Network Approach Book PDF

Author : Bilal M. Ayyub,Madan M. Gupta
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 44,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461554738

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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by Bilal M. Ayyub,Madan M. Gupta Pdf

Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.

Experimentation and Uncertainty Analysis for Engineers

Hugh W. Coleman,W. Glenn Steele
Experimentation and Uncertainty Analysis for Engineers Book PDF

Author : Hugh W. Coleman,W. Glenn Steele
Publisher : John Wiley & Sons
Page : 298 pages
File Size : 42,6 Mb
Release : 1999
Category : Psychology
ISBN : 0471121460

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Experimentation and Uncertainty Analysis for Engineers by Hugh W. Coleman,W. Glenn Steele Pdf

Now, in the only manual available with direct applications to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new methodologies being used by the United States and International standards committee groups.

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Bilal Ayyub,Madan M. Gupta
Uncertainty Analysis in Engineering and Sciences Fuzzy Logic Statistics and Neural Network Approach Book PDF

Author : Bilal Ayyub,Madan M. Gupta
Publisher : Springer
Page : 371 pages
File Size : 52,9 Mb
Release : 2011-09-28
Category : Computers
ISBN : 1461554748

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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by Bilal Ayyub,Madan M. Gupta Pdf

Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.

Doubt-Free Uncertainty In Measurement

Colin Ratcliffe,Bridget Ratcliffe
Doubt Free Uncertainty In Measurement Book PDF

Author : Colin Ratcliffe,Bridget Ratcliffe
Publisher : Springer
Page : 95 pages
File Size : 45,6 Mb
Release : 2014-11-17
Category : Technology & Engineering
ISBN : 9783319120638

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Doubt-Free Uncertainty In Measurement by Colin Ratcliffe,Bridget Ratcliffe Pdf

This volume presents measurement uncertainty and uncertainty budgets in a form accessible to practicing engineers and engineering students from across a wide range of disciplines. The book gives a detailed explanation of the methods presented by NIST in the “GUM” – Guide to Uncertainty of Measurement. Emphasis is placed on explaining the background and meaning of the topics, while keeping the level of mathematics at the minimum level necessary. Dr. Colin Ratcliffe, USNA, and Bridget Ratcliffe, Johns Hopkins, develop uncertainty budgets and explain their use. In some examples, the budget may show a process is already adequate and where costs can be saved. In other examples, the budget may show the process is inadequate and needs improvement. The book demonstrates how uncertainty budgets help identify the most cost effective place to make changes. In addition, an extensive fully-worked case study leads readers through all issues related to an uncertainty analysis, including a variety of different types of uncertainty budgets. The book is ideal for professional engineers and students concerned with a broad range of measurement assurance challenges in applied sciences. This book also: Facilitates practicing engineers’ understanding of uncertainty budgets, essential to calculating cost-effective savings to a wide variety of processes contingent on measurement Presents uncertainty budgets in an accessible style suitable for all undergraduate STEM courses that include a laboratory component Provides a highly adaptable supplement to graduate textbooks for courses where students’ work includes reporting on experimental results Includes an expanded case study developing uncertainty from transducers though measurands and propagated to the final measurement that can be used as a template for the analysis of many processes Stands as a useful pocket reference for all engineers and experimental scientists

Uncertainty Modeling and Analysis in Engineering and the Sciences

Bilal M. Ayyub,George J. Klir
Uncertainty Modeling and Analysis in Engineering and the Sciences Book PDF

Author : Bilal M. Ayyub,George J. Klir
Publisher : Chapman and Hall/CRC
Page : 400 pages
File Size : 40,6 Mb
Release : 2006-05-25
Category : Business & Economics
ISBN : 1584886447

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Uncertainty Modeling and Analysis in Engineering and the Sciences by Bilal M. Ayyub,George J. Klir Pdf

Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge and ignorance, how to model and analyze uncertainty, and how to select appropriate analytical tools for particular problems. This volume covers primary components of ignorance and their impact on practice and decision making. It provides an overview of the current state of uncertainty modeling and analysis, and reviews emerging theories while emphasizing practical applications in science and engineering. The book introduces fundamental concepts of classical, fuzzy, and rough sets, probability, Bayesian methods, interval analysis, fuzzy arithmetic, interval probabilities, evidence theory, open-world models, sequences, and possibility theory. The authors present these methods to meet the needs of practitioners in many fields, emphasizing the practical use, limitations, advantages, and disadvantages of the methods.

Probability Methods for Cost Uncertainty Analysis

Paul R. Garvey,Stephen A. Book,Raymond P. Covert
Probability Methods for Cost Uncertainty Analysis Book PDF

Author : Paul R. Garvey,Stephen A. Book,Raymond P. Covert
Publisher : CRC Press
Page : 526 pages
File Size : 44,8 Mb
Release : 2016-01-06
Category : Mathematics
ISBN : 9781482219760

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Probability Methods for Cost Uncertainty Analysis by Paul R. Garvey,Stephen A. Book,Raymond P. Covert Pdf

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to

Measurement and Data Analysis for Engineering and Science

Patrick F Dunn,Michael P. Davis
Measurement and Data Analysis for Engineering and Science Book PDF

Author : Patrick F Dunn,Michael P. Davis
Publisher : CRC Press
Page : 615 pages
File Size : 49,9 Mb
Release : 2017-12-06
Category : Technology & Engineering
ISBN : 9781351686396

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Measurement and Data Analysis for Engineering and Science by Patrick F Dunn,Michael P. Davis Pdf

Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing Measurement System Performance, Setting Signal Sampling Conditions, Analyzing Experimental Results, and Reporting Experimental Results. More practical examples, case studies, and a variety of homework problems have been added; and MATLAB and Simulink resources have been updated.

Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students

Supreet Singh Bahga
Experimental Uncertainty Analysis A Textbook for Science and Engineering Students Book PDF

Author : Supreet Singh Bahga
Publisher : Supreet Singh Bahga
Page : 186 pages
File Size : 50,5 Mb
Release : 2021-07-06
Category : Technology & Engineering
ISBN : 9781636402321

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Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students by Supreet Singh Bahga Pdf

Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.

Applied Research in Uncertainty Modeling and Analysis

Bilal M. Ayyub
Applied Research in Uncertainty Modeling and Analysis Book PDF

Author : Bilal M. Ayyub
Publisher : Springer Science & Business Media
Page : 545 pages
File Size : 51,9 Mb
Release : 2007-12-29
Category : Business & Economics
ISBN : 9780387235509

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Applied Research in Uncertainty Modeling and Analysis by Bilal M. Ayyub Pdf

The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.

Decisions under Uncertainty

Ian Jordaan
Decisions under Uncertainty Book PDF

Author : Ian Jordaan
Publisher : Cambridge University Press
Page : 128 pages
File Size : 49,8 Mb
Release : 2005-04-07
Category : Technology & Engineering
ISBN : 9781316584033

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Decisions under Uncertainty by Ian Jordaan Pdf

To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: what exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.

Probability, Statistics, and Reliability for Engineers and Scientists

Bilal M. Ayyub,Richard H. McCuen
Probability Statistics and Reliability for Engineers and Scientists Book PDF

Author : Bilal M. Ayyub,Richard H. McCuen
Publisher : CRC Press
Page : 657 pages
File Size : 53,6 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895337

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Probability, Statistics, and Reliability for Engineers and Scientists by Bilal M. Ayyub,Richard H. McCuen Pdf

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p

Uncertainty Quantification and Predictive Computational Science

Ryan G. McClarren
Uncertainty Quantification and Predictive Computational Science Book PDF

Author : Ryan G. McClarren
Publisher : Springer
Page : 345 pages
File Size : 46,8 Mb
Release : 2018-11-23
Category : Science
ISBN : 9783319995250

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Uncertainty Quantification and Predictive Computational Science by Ryan G. McClarren Pdf

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform.

Measurement and Data Analysis for Engineering and Science, Third Edition

Patrick F. Dunn
Measurement and Data Analysis for Engineering and Science Third Edition Book PDF

Author : Patrick F. Dunn
Publisher : CRC Press
Page : 634 pages
File Size : 48,8 Mb
Release : 2014-05-23
Category : Technology & Engineering
ISBN : 9781466594968

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Measurement and Data Analysis for Engineering and Science, Third Edition by Patrick F. Dunn Pdf

The third edition of Measurement and Data Analysis for Engineering and Science provides an up-to-date approach to presenting the methods of experimentation in science and engineering. Widely adopted by colleges and universities within the U.S. and abroad, this edition has been developed as a modular work to make it more adaptable to different approaches from various schools. This text details current methods and highlights the six fundamental tools required for implementation: planning an experiment, identifying measurement system components, assessing measurement system component performance, setting signal sampling conditions, analyzing experimental results, and reporting experimental results. What’s New in the Third Edition: This latest edition includes a new chapter order that presents a logical sequence of topics in experimentation, from the planning of an experiment to the reporting of the experimental results. It adds a new chapter on sensors and transducers that describes approximately 50 different sensors commonly used in engineering, presents uncertainty analysis in two separate chapters, and provides a problem topic summary in each chapter. New topics include smart measurement systems, focusing on the Arduino® microcontroller and its use in the wireless transmission of data, and MATLAB® and Simulink® programming for microcontrollers. Further topic additions are on the rejection of data outliers, light radiation, calibrations of sensors, comparison of first-order sensor responses, the voltage divider, determining an appropriate sample period, and planning a successful experiment. Measurement and Data Analysis for Engineering and Science also contains more than 100 solved example problems, over 400 homework problems, and provides over 75 MATLAB® Sidebars with accompanying MATLAB M-files, Arduino codes, and data files available for download.