Measurement and Instrumentation

Theory and Application

Häftad, Engelska, 2020

Av Alan S. Morris, Reza Langari, UK) Morris, Alan S. (Department of Automatic Control and Systems Engineering, University of Sheffield, USA) Langari, Reza (Professor, Mechanical Engineering Department, Texas A&M University, College Station, TX

1 509 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

Measurement and Instrumentation: Theory and Application, Third Edition, introduces undergraduate engineering students to measurement principles and the range of sensors and instruments used for measuring physical variables. Providing the most balanced coverage of measurement theory/technologies and instrumentation, this clearly and comprehensively written text arms students and recently graduated engineers with the knowledge and tools to design and build measurement systems for virtually any engineering application.

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
New sections in this updated edition include an expansion of sections on MEMS and electrical safety, new illustrations, including more photos of real devices, and more worked examples and end-of-chapter problems

Produktinformation

Utgivningsdatum2020-12-04
Mått191 x 235 x 32 mm
Vikt1 040 g
FormatHäftad
SpråkEngelska
Antal sidor736
Upplaga3
FörlagElsevier Science
ISBN9780128171417

Tillhör följande kategorier

Teknik: allmänt inom Naturvetenskap och teknik

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.

1. Fundamentals of Measurement Systems2. Instrument Types and Performance Characteristics3. Measurement Uncertainty4. Statistical Analysis of Measurements Subject to Random Errors5. Calibration of Measuring Sensors and Instruments6. Data Acquisition and Signal Processing7. Variable Conversion8. Measurement Signal Transmission9. Display, Recording, and Presentation of Measurement Data10. Intelligent Devices11. Measurement Reliability and Safety Systems12. Data Acquisition with LabVIEW13. Sensor Technologies14. Temperature Measurement15. Pressure Measurement16. Flow Measurement17. Level Measurement18. Mass, Force, and Torque Measurement19. Translational Motion, Vibration, and Shock Measurement20. Rotational Motion Transducers21. Summary of Other MeasurementsAppendix1. Imperial-Metric-SI Conversion Tables 2. Thévenin’s Theorem 3. Thermocouple Tables 4. Using Mathematical Tables