Measurement and Instrumentation
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Measurement and Instrumentation : Theory and Application

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Description

Measurement and Instrumentation: Theory and Application, Second Edition, introduces undergraduate engineering students to measurement principles and the range of sensors and instruments used for measuring physical variables.

This updated edition provides new coverage of the latest developments in measurement technologies, including smart sensors, intelligent instruments, microsensors, digital recorders, displays, and interfaces, also featuring chapters on data acquisition and signal processing with LabVIEW from Dr. Reza Langari.

Written clearly and comprehensively, this text provides students and recently graduated engineers with the knowledge and tools to design and build measurement systems for virtually any engineering application.
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Product details

  • Paperback | 726 pages
  • 191 x 235 x 33.02mm | 1,360g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 2nd edition
  • Approx. 300 illustrations; Illustrations, unspecified
  • 0128008849
  • 9780128008843
  • 1,251,107

Table of contents

Fundamentals of Measurement Systems
Instrument Types and Performance Characteristics
Measurement Uncertainty
Statistical Analysis of Measurements Subject to Random Errors
Calibration of Measuring Sensors and Instruments
Data Acquisition and Signal Processing
Variable Conversion
Measurement Signal Transmission
Display, Recording, and Presentation of Measurement Data
Intelligent Devices
Measurement Reliability and Safety Systems
Data Acquisition with LabVIEW
Sensor Technologies
Temperature Measurement
Pressure Measurement
Flow Measurement
Level Measurement
Mass, Force, and Torque Measurement
Translational Motion, Vibration, and Shock Measurement
Rotational Motion Transducers
Summary of Other Measurements

Appendix 1: Imperial-Metric-SI Conversion Tables Appendix 2: Thevenin's Theorem Appendix 3: Thermocouple Tables Appendix 4: Using mathematical tables
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About Alan S. Morris

Dr. Morris Retired 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 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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Rating details

8 ratings
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