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Measurement and Instrumentation
 
 

Measurement and Instrumentation, 2nd Edition

Theory and Application

 
Measurement and Instrumentation, 2nd Edition,Alan S Morris,Reza Langari,ISBN9780128008843
 
 
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Academic Press

9780128008843

9780128011324

726

235 X 191

The ideal measurement and instrumentation course text for undergraduate engineering students, covering all the latest developments in measurement theory and instrumentation, aided by LabVIEW

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Key Features

  • Provides early coverage of measurement system design to facilitate a better framework for understanding the importance of studying measurement and instrumentation
  • Covers the latest developments in measurement technologies, including smart sensors, intelligent instruments, microsensors, digital recorders, displays, and interfaces
  • Includes significant material on data acquisition and signal processing with LabVIEW
  • Extensive coverage of measurement uncertainty aids students’ ability to determine the accuracy of instruments and measurement systems

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.

Readership

Junior and senior undergraduate engineering students taking measurement and instrumentation courses primarily in mechanical and aerospace engineering departments

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.

Affiliations and Expertise

Department of Automatic Control & Systems Engineering, University of Sheffield, UK

Reza Langari

Ph.D.Mechanical Engineering, University of California, Berkeley, 1991 M.Sc.Mechanical Engineering, University of California, Berkeley, 1983 B.Sc. Mechanical Engineering, University of California, Berkeley, 1980

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.

Affiliations and Expertise

Professor, Mechanical Engineering Department, Texas A&M University, College Station, TX

Measurement and Instrumentation, 2nd Edition

  1. Fundamentals of Measurement Systems
  2. Instrument Types and Performance Characteristics
  3. Measurement Uncertainty
  4. Statistical Analysis of Measurements Subject to Random Errors
  5. Calibration of Measuring Sensors and Instruments
  6. Data Acquisition and Signal Processing
  7. Variable Conversion
  8. Measurement Signal Transmission
  9. Display, Recording, and Presentation of Measurement Data
  10. Intelligent Devices
  11. Measurement Reliability and Safety Systems
  12. Data Acquisition with LabVIEW
  13. Sensor Technologies
  14. Temperature Measurement
  15. Pressure Measurement
  16. Flow Measurement
  17. Level Measurement
  18. Mass, Force, and Torque Measurement
  19. Translational Motion, Vibration, and Shock Measurement
  20. Rotational Motion Transducers
  21. Summary of Other Measurements

Appendix 1: Imperial–Metric–SI Conversion Tables
Appendix 2: Thévenin's Theorem
Appendix 3: Thermocouple Tables
Appendix 4: Using mathematical tables

 
 
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