Edition DescriptionRevised edition,New Edition
Table Of ContentExperiments Chapter Overview Role of Experiments The Experiment Experimental Approach Classification of Experiments Electronics Chapter Overview Concepts and Definitions Circuit Elements RLC Combinations Elementary DC Circuit Analysis Elementary AC Circuit Analysis Equivalent Circuits Meters Impedance Matching and Loading Error Electrical Noise Measurement Systems Chapter Overview Measurement System Elements Sensors and Transducers Amplifiers Filters Analog-to-Digital Converters Example Measurement Systems Calibration and Response Chapter Overview Static Response Characterization Dynamic Response Characterization Zero-Order System Dynamic Response First-Order System Dynamic Response Second-Order System Dynamic Response Higher-Order System Dynamic Response Numerical Solution Methods Probability Chapter Overview Relation to Measurements Sample versus Population Plotting Statistical Information Probability Density Function Various Probability Density Functions Central Moments Probability Distribution Function Probability Concepts Statistics Chapter Overview Normal Distribution Normalized Variables Student's tDistribution Standard Deviation of the Means Chi-Square Distribution Pooling Samples Hypothesis Testing Design of Experiments Factorial Design Uncertainty Analysis Chapter Overview Uncertainty Comparing Theory and Measurement Uncertainty as an Estimated Variance Systematic and Random Errors Measurement Process Errors Quantifying Uncertainties Measurement Uncertainty Analysis General Uncertainty Analysis Detailed Uncertainty Analysis Uncertainty Analysis Summary Finite-Difference Uncertainties Uncertainty Based upon Interval Statistics Regression and Correlation Chapter Overview Least-Squares Approach Least-Squares Regression Analysis Linear Analysis Regression Parameters Confidence Intervals Linear Correlation Analysis Uncertainty from Measurement Error Determining the Appropriate Fit Signal Correlations in Time Higher-Order Analysis Multi-Variable Linear Analysis Signal Characteristics Chapter Overview Signal Characterization Signal Variables Signal Statistical Parameters Fourier Series of a Periodic Signal Complex Numbers and Waves Exponential Fourier Series Spectral Representations Continuous Fourier Transform Continuous Fourier Transform Properties Signal Analysis Chapter Overview Digital Sampling Aliasing Discrete Fourier Transform Fast Fourier Transform Amplitude Ambiguity Windowing Units and Significant Figures Chapter Overview English and Metric Systems Systems of Units SI Standards Technical English and SI Conversion Factors Prefixes Significant Figures Technical Communication Chapter Overview Guidelines for Writing Technical Memo Technical Report Oral Technical Presentation Appendix A: Glossary Appendix B: Symbols Appendix C: Review Problem Answers Index A Problem Topic Summary, Review and Homework Problems, and a Bibliography appear at the end of each chapter.
SynopsisPresenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Editioncovers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material. New to the Second Edition Order of chapters now reflects the sequence of topics usually included in an undergraduate course Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course More than 150 new problems, bringing the total to over 420 problems Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB®sidebars with M-files, and homework data files Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings. Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/~pdunn/www.text/measurements.html, Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material. New to the Second Edition Order of chapters now reflects the sequence of topics usually included in an undergraduate course Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course More than 150 new problems, bringing the total to over 420 problems Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB(r) sidebars with M-files, and homework data files Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings. Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/ pdunn/www.text/measurements.html, The second edition of a bestseller, this text offers a practical approach to learning and using lab skills, technical reporting, and data analysis. The first chapters cover experimental methods, significant figures, technical communications, and basic electronics, while the final chapters address data analysis, probability and statistics, uncertainty analysis, signal characteristics, and digital signal analysis. A full laboratory manual provides twelve lab experiments taken from various engineering subject areas. The book discusses computer techniques and specific MATLAB® applications throughout the chapters.
LC Classification NumberTA340