Measurement and Instrumentation
Morris, Alan S.; Langari, Reza
Language: English
Published by Academic Press, 2020
- Softcover
- New
Seller: eCampus, Lexington, KY, U.S.A.eCampus
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Condition: New
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- Title
- Measurement and Instrumentation
- Author
- Morris, Alan S.; Langari, Reza
- Publisher
- Academic Press
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128171413
- ISBN 13
- 9780128171417
- Edition
- 3rd Edition
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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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