Measurement and Instrumentation

Measurement and Instrumentation

Theory and Application

1st Edition - August 31, 2011

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  • Authors: Alan Morris, Reza Langari
  • eBook ISBN: 9780123819628

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Description

Measurement and Instrumentation introduces undergraduate engineering students to the measurement principles and the range of sensors and instruments that are used for measuring physical variables. Based on Morris’s Measurement and Instrumentation Principles, this brand new text has been fully updated with coverage of the latest developments in such measurement technologies as smart sensors, intelligent instruments, microsensors, digital recorders and displays and interfaces. Clearly and comprehensively written, this textbook provides students with the knowledge and tools, including examples in LABVIEW, to design and build measurement systems for virtually any engineering application. The text features chapters on data acquisition and signal processing with LabVIEW from Dr. Reza Langari, Professor of Mechanical Engineering at Texas A&M University.

Key Features

  • Early coverage of measurement system design provides students with a better framework for understanding the importance of studying measurement and instrumentation
  • Includes significant material on data acquisition, coverage of sampling theory and linkage to acquisition/processing software, providing students with a more modern approach to the subject matter, in line with actual data acquisition and instrumentation techniques now used in industry.
  • Extensive coverage of uncertainty (inaccuracy) aids students’ ability to determine the precision of instruments
  • Integrated use of LabVIEW examples and problems enhances students’ ability to understand and retain content

Readership

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

Table of Contents

  • Acknowledgement

    Preface

    Chapter 1. Fundamentals of Measurement Systems

    1.1. Introduction

    1.2. Measurement Units

    1.3. Measurement System Design

    1.4. Measurement System Applications

    1.5. Summary

    1.6. Problems

    Chapter 2. Instrument Types and Performance Characteristics

    2.1. Introduction

    2.2. Review of Instrument Types

    2.3. Static Characteristics of Instruments

    2.4. Dynamic Characteristics of Instruments

    2.5. Necessity for Calibration

    2.6. Summary

    2.7. Problems

    Chapter 3. Measurement Uncertainty

    3.1. Introduction

    3.2. Sources of Systematic Error

    3.3. Reduction of Systematic Errors

    3.4. Quantification of Systematic Errors

    3.5. Sources and Treatment of Random Errors

    3.6. Statistical Analysis of Measurements Subject to Random Errors

    3.7. Aggregation of Measurement System Errors

    3.8. Summary

    3.9. Problems

    Chapter 4. Calibration of Measuring Sensors and Instruments

    4.1. Introduction

    4.2. Principles of Calibration

    4.3. Control of Calibration Environment

    4.4. Calibration Chain and Traceability

    4.5. Calibration Records

    4.6. Summary

    4.7. Problems

    Chapter 5. Data Acquisition with LabVIEW

    5.1. Introduction

    5.2. Computer-Based Data Acquisition

    5.3. National Instruments LabVIEW

    5.4. Introduction to Graphical Programming in LabVIEW

    5.5. Logic Operations in LabVIEW

    5.6. Loops in LabVIEW

    5.7. Case Structure in LabVIEW

    5.8. Data Acquisition Using LabVIEW

    5.9. LabVIEW Function Generation

    5.10. Summary

    5.11. Problems

    5.12. Appendix: Software Tools for Laboratory Data Acquisition

    Chapter 6. Signal Processing with LabVIEW

    6.1. Introduction

    6.2. Analogue Filters

    6.3. Digital Filters

    6.4. Conclusions

    6.5. Problems

    6.6. Appendix

    Chapter 7. Electrical Indicating and Test Instruments

    7.1. Introduction

    7.2. Digital Meters

    7.3. Analogue Meters

    7.4. Oscilloscopes

    7.5. Summary

    7.6. Problems

    Chapter 8. Display, Recording, and Presentation of Measurement Data

    8.1. Introduction

    8.2. Display of Measurement Signals

    8.3. Recording of Measurement Data

    8.4. Presentation of Data

    8.5. Summary

    8.6. Problems

    Chapter 9. Variable Conversion Elements

    9.1. Introduction

    9.2. Bridge Circuits

    9.3. Resistance Measurement

    9.4. Inductance Measurement

    9.5. Capacitance Measurement

    9.6. Current Measurement

    9.7. Frequency Measurement

    9.8. Phase Measurement

    9.9. Summary

    9.10. Problems

    Chapter 10. Measurement Signal Transmission

    10.1. Introduction

    10.2. Electrical Transmission

    10.3. Pneumatic Transmission

    10.4. Fiber-Optic Transmission

    10.5. Optical Wireless Telemetry

    10.6. Radiotelemetry (Radio Wireless Transmission)

    10.7. Digital Transmission Protocols

    10.8. Summary

    10.9. Problems

    Chapter 11. Intelligent Devices

    11.1. Introduction

    11.2. Principles of Digital Computation

    11.3. Intelligent Devices

    11.4. Communication with Intelligent Devices

    11.5. Summary

    11.6. Problems

    Chapter 12. Measurement Reliability and Safety Systems

    12.1. Introduction

    12.2. Reliability

    12.3. Safety Systems

    12.4. Summary

    12.5. Problems

    Chapter 13. Sensor Technologies

    13.1. Introduction

    13.2. Capacitive Sensors

    13.3. Resistive Sensors

    13.4. Magnetic Sensors

    13.5. Hall-Effect Sensors

    13.6. Piezoelectric Transducers

    13.7. Strain Gauges

    13.8. Piezoresistive Sensors

    13.9. Optical Sensors

    13.10. Ultrasonic Transducers

    13.11. Nuclear Sensors

    13.12. Microsensors

    13.13. Summary

    13.14. Problems

    Chapter 14. Temperature Measurement

    14.1. Introduction

    14.2. Thermoelectric Effect Sensors (Thermocouples)

    14.3. Varying Resistance Devices

    14.4. Semiconductor Devices

    14.5. Radiation Thermometers

    14.6. Thermography (Thermal Imaging)

    14.7. Thermal Expansion Methods

    14.8. Quartz Thermometers

    14.9. Fiber-Optic Temperature Sensors

    14.10. Color Indicators

    14.11. Change of State of Materials

    14.12. Intelligent Temperature-Measuring Instruments

    14.13. Choice between Temperature Transducers

    14.14. Calibration of Temperature Transducers

    14.15. Summary

    14.16. Problems

    Chapter 15. Pressure Measurement

    15.1. Introduction

    15.2. Diaphragms

    15.3. Capacitive Pressure Sensor

    15.4. Fiber-Optic Pressure Sensors

    15.5. Bellows

    15.6. Bourdon Tube

    15.7. Manometers

    15.8. Resonant Wire Devices

    15.9. Electronic Pressure Gauges

    15.10. Special Measurement Devices for Low Pressures

    15.11. High-Pressure Measurement (Greater than 7000 bar)

    15.12. Intelligent Pressure Transducers

    15.13. Differential Pressure-Measuring Devices

    15.14. Selection of Pressure Sensors

    15.15. Calibration of Pressure Sensors

    15.16. Summary

    15.17. Problems

    Chapter 16. Flow Measurement

    16.1. Introduction

    16.2. Mass Flow Rate

    16.3. Volume Flow Rate

    16.4. Intelligent Flowmeters

    16.5. Choice between Flowmeters for Particular Applications

    16.6. Calibration of Flowmeters

    16.7. Summary

    16.8. Problems

    Chapter 17. Level Measurement

    17.1. Introduction

    17.2. Dipsticks

    17.3. Float Systems

    17.4. Pressure-Measuring Devices (Hydrostatic Systems)

    17.5. Capacitive Devices

    17.6. Ultrasonic Level Gauge

    17.7. Radar (Microwave) Sensors

    17.8. Nucleonic (or Radiometric) Sensors

    17.9. Other Techniques

    17.10. Intelligent Level-Measuring Instruments

    17.11. Choice between Different Level Sensors

    17.12. Calibration of Level Sensors

    17.13. Summary

    17.14. Problems

    Chapter 18. Mass, Force, and Torque Measurement

    18.1. Introduction

    18.2. Mass (Weight) Measurement

    18.3. Force Measurement

    18.4. Torque Measurement

    18.5. Calibration of Mass, Force, and Torque Measuring Sensors

    18.6. Summary

    18.7. Problems

    Chapter 19. Translational Motion, Vibration, and Shock Measurement

    19.1. Introduction

    19.2. Displacement

    19.3. Velocity

    19.4. Acceleration

    19.5. Vibration

    19.6. Shock

    19.7. Summary

    19.8. Problems

    Chapter 20. Rotational Motion Transducers

    20.1. Introduction

    20.2. Rotational Displacement

    20.3. Rotational Velocity

    20.4. Rotational Acceleration

    20.5. Summary

    20.6. Problems

    Appendix 1. Imperial–Metric–SI Conversion Tables

    Appendix 2. Thévenin's Theorem

    Appendix 3. Thermocouple Tables

    Index

Product details

  • No. of pages: 640
  • Language: English
  • Copyright: © Butterworth-Heinemann 2011
  • Published: August 31, 2011
  • Imprint: Butterworth-Heinemann
  • eBook ISBN: 9780123819628

About the Authors

Alan 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 and Systems Engineering, University of Sheffield, UK

Reza Langari

Reza Langari
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.

Affiliations and Expertise

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

Ratings and Reviews

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  • Damot G. Wed Sep 26 2018

    Mr. Damot Tesfaye( Lecturer@ Hawassa University)

    I do appreciate the depth of the book with lead readers grasp the basic and advanced measurement Techniques. It also employ readers to notion of Instrumentation Technologies and Engineering