Measurement and data analysis for engineering and science
Author(s)
Bibliographic Information
Measurement and data analysis for engineering and science
（Mechanical engineering series / series editor, Frank Kreith）
CRC Press, c2018
4th ed
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Fundamentals of Experimentation. Experiments. Concept Chapter: Measurement System Components. Fundamental Electronics. Measurement Systems: Sensors and Transducers. Mesurement Systems: Other Components. Concept Chapter: Assessing Measurement Systems Performance. Measurement Systems: Calibration and Response. Measurement Systems: Design-Stage Uncertainty. Concept Chapter: Setting Signal Sampling Conditions. Signal Characteristics. The Fourier Transform. Digital Signal Analysis. Concept Chapter: Analizing Experimental Results. Probability. Statistics. Uncertainty Analysis. Regression and Correlation. Concept Chapter: Units and Significant Figures. Technical Communication. Glossary. Symbols. Review Problem Answers. Index.
by "Nielsen BookData"