Patrick F Dunn, Michael P. Davis

Measurement and Data Analysis for Engineering and Science (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods in science and engineering.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 590
• Erscheinungstermin: 6. Dezember 2017
• Englisch
• ISBN-13: 9781351686396
• Artikelnr.: 50417936

Autorenporträt

Patrick F. Dunn, Ph.D., P.E., is a retired professor of aerospace and mechanical engineering at the University of Notre Dame. He earned his B.S., M.S., and Ph.D. degrees in engineering from Purdue University (1970, 1971, and 1974). Professor Dunn is the author of over 160 scientific journal and refereed symposia publications, and various textbooks including Measurement and Data Analysis for Engineering and Science Second Edition by Taylor & Francis / CRC Press, 2010; Measurement and Data Analysis for Engineering and Science, Third Edition by Taylor & Francis / CRC Press; and Fundamentals of Sensors for Engineering and Science First Edition by Taylor & Francis / CRC Press, 2011. Michael P. Davis (Ph.D., University of Notre Dame) has extensive experience in industry as a practicing engineer, in both the shipbuilding and aerospace fields. As a senior machinery engineer with Bath Iron Works, Dr. Davis was responsible for the design and integration of propulsion systems (including main engines, shafting, and propellers) for the newest class of U.S. Navy destroyers. While at Pratt and Whitney, he worked as a controls engineer for a new generation of commercial aircraft engines. He currently teaches in the Mechanical Engineering department at the University of Southern Maine.

Inhaltsangabe

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.