Measurement and Instrumentation Theory and Application

ISBN-10: 0123819601
ISBN-13: 9780123819604
Edition: 2011
List price: $44.99 Buy it from $19.22
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Description: 'Measurement and Instrumentation Principles' is the latest edition of a successful book that introduces undergraduate students to the measurement principles and the range of sensors and instruments that are used for measuring physical variables.  More...

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Book details

List price: $44.99
Copyright year: 2011
Publisher: Elsevier Science & Technology
Publication date: 10/20/2011
Binding: Paperback
Pages: 640
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 2.728
Language: English

'Measurement and Instrumentation Principles' is the latest edition of a successful book that introduces undergraduate students to the measurement principles and the range of sensors and instruments that are used for measuring physical variables. Completely updated to include new technologies such as smart sensors, displays and interfaces, the 3rd edition also contains plenty of worked examples and self-assessment questions (and solutions). In addition, a new chapter on safety issues focuses on the legal framework, electrical safety and failsafe designs, and the author has also concentrated on RF and optical wireless communications. Fully up-to-date and comprehensively written, this textbook is essential for all engineering undergraduates, especially those in the first two years of their course. Completely updated Includes new technologies such as smart sensors and displays

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.

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
Conversion Tables Between Imperial and SI Units
Thevenin's Theorem
Thermocouple Tables

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