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Author:   Alan S. Morris (Department of Automatic Control and Systems Engineering, University of Sheffield, UK) ,  Reza Langari (Professor, Mechanical Engineering Department, Texas A&M University, College Station, TX, USA)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Butterworth-Heinemann Inc
Dimensions:   Width: 19.10cm , Height: 3.30cm , Length: 23.50cm
Weight:   1.100kg
ISBN:  

9780123819604

ISBN 10:   0123819601
Pages:   640
Publication Date:   20 October 2011
Audience:   College/higher education ,  Undergraduate
Replaced By:   9780128008843
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Introduction to Measurement; Types of Instruments and Performance Characteristics; Errors During the Measurement Process; Calibration of Measuring Sensors and Instruments; Data Acquisition with LabVIEW; Signal Processing with LabVIEW; Electrical Indicating and Test Instruments; Display, Recording and Presentation of Measurement Data; Variable Conversion Elements; Signal Transmission; Digital Computation and Intelligent Instruments; Measurement Reliability and Safety Systems; Sensor Technologies; Temperature Measurement; Pressure Measurement; Flow Measurement; Level Measurement; Mass, Force and Torque Measurement; Translational Motion Transducers; Rotational Motion; Appendix A Conversion Tables Between Imperial and SI Units; Appendix B Thevenin’s Theorem; Appendix C Thermocouple Tables;

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Author Information

Dr. Morris is senior lecturer in the Department of Automatic Control & Systems Engineering at the University of Sheffield. He has taught the undergraduate course in measurement and instrumentation for nearly 30 years, as well as undergraduate courses in robot technology, engineering design and laboratory skills, and graduate level courses in robot control, modeling and measurement for quality assurance. He is the author of eight books and more than 130 research papers in the fields of measurement and instrumentation and robot control. Dr. Langari is a professor in the Department of Mechanical Engineering at Texas A&M University and interim head of the Department of Engineering Technology and Industrial Distribution. He earned bachelor's, master's and doctoral degrees from the University of California, Berkeley. He has held research positions at NASA Ames Research Center, Rockwell International Science Center, United Technologies Research Center, as well as the U.S. Air Force Research Laboratory. Langari's expertise is in the area of computational intelligence with application to mechatronic systems and industrial automation. He has played a significant role in the development of theoretical foundations of fuzzy logic control and its applications to problems in mechanical engineering. His work on stability of fuzzy control systems is widely recognized as pioneering the use of nonlinear systems analysis techniques to fuzzy logic.

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