Measurement Science for Engineers book cover

Measurement Science for Engineers

This volume, from an international authority on the subject, deals with the physical and instrumentation aspects of measurement science, the availability of major measurement tools, and how to use them. This book not only lays out basic concepts of electronic measurement systems, but also provides numerous examples and exercises for the student.

Final year undergraduates and postgraduate students in measurement and control, electrical engineering, physics and other branches of engineering

Paperback, 384 Pages

Published: June 2004

Imprint: Butterworth Heinemann

ISBN: 978-1-903996-58-4


  • 1.Introduction; measurement science; trends; general architecture of a measurement system. 2. Basics of measurement; units; standards; quantities and properties- geometric, electrical and magnetic, thermal, mechanical, optical domains and interrelationships; transducers. 3. Measurement errors and uncertainty; true values, errors and uncertainty; basic definitions; measurement error and probability theory; density functions; expectation, variance and standard deviation; statistical inference; histograms; mean and standard deviation; uncertainty analysis; uncertainty and error propagation; characterization of errors; error reduction techniques. 4. Analogue signal conditioning; analogue amplifiers; analogue filters; modulation and detection. 5. Digital signal conditioning; (binary) signals and codes; sampling; reconstruction of the analogue signal; sampling devices and multiplexers; digital functions; hardware for digital signal conditioning. 6. Analogue to digital and digital to analogue conversion. 7. Measurement; thermal and optical quantities, magnetic quantities time and time-related quantities. 8. Measurement of mechanical quantities; sensors (capacitive, magnetic, piezoelectric, optical, acoustic) strain gauges. 9. Measurement of chemical quantities; potentiometry; amperometry, electrolyte conductivity. 10. Imaging instruments; imaging principles; optical imaging; advanced imaging devices; digital image processing and computer vision. Appendices; scales; units and quantities; expectations, variances and covariance of two random variables. 11. Worked Examples.


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