Measurement and Instrumentation. Questo articolo non è disponibile.
Lingua: inglese
Editore: Elsevier Science Publishing Co Inc, US, 2020
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Descrizione dell’articolo da parte del venditore
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.
Codice articolo LU-9780128171417
- Titolo
- Measurement and Instrumentation
- Autore
- Reza Langari, Alan S. Morris
- Editore
- Elsevier Science Publishing Co Inc, US
- Anno di pubblicazione
- 2020
- Condizione
- New
- Rilegatura
- Paperback
- Lingua
- inglese
- ISBN 10
- 0128171413
- ISBN 13
- 9780128171417
- Edizione
- terza edizione
- Peso dell'articolo
- 1040 grammi
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.
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Informazioni sull’autore
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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