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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Intelligent Instrumentation - Principles and Applications (Paperback)
Loot Price: R2,428
Discovery Miles 24 280
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Intelligent Instrumentation - Principles and Applications (Paperback)
Expected to ship within 12 - 19 working days
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With the advent of microprocessors and digital-processing
technologies as catalyst, classical sensors capable of simple
signal conditioning operations have evolved rapidly to take on
higher and more specialized functions including validation,
compensation, and classification. This new category of sensor
expands the scope of incorporating intelligence into
instrumentation systems, yet with such rapid changes, there has
developed no universal standard for design, definition, or
requirement with which to unify intelligent instrumentation.
Explaining the underlying design methodologies of intelligent
instrumentation, Intelligent Instrumentation: Principles and
Applications provides a comprehensive and authoritative resource on
the scientific foundations from which to coordinate and advance the
field. Employing a textbook-like language, this book translates
methodologies to more than 80 numerical examples, and provides
applications in 14 case studies for a complete and working
understanding of the material. Beginning with a brief introduction
to the basic concepts of process, process parameters, sensors and
transducers, and classification of transducers, the book describes
the performance characteristics of instrumentation and measurement
systems and discusses static and dynamic characteristics, various
types of sensor signals, and the concepts of signal
representations, various transforms, and their operations in both
static and dynamic conditions. It describes smart sensors, cogent
sensors, soft sensors, self-validating sensors, VLSI sensors,
temperature-compensating sensors, microcontrollers and ANN-based
sensors, and indirect measurement sensors. The author examines
intelligent sensor signal conditioning such as calibration,
linearization, and compensation, along with a wide variety of
calibration and linearization techniques using circuits,
analog-to-digital converters (ADCs), microcontrollers, ANNs, and
software. The final chapters highlight ANN techniques for pattern
classification, recognition, prognostic diagnosis, fault detection,
linearization, and calibration as well as important interfacing
protocols in the wireless networking platform.
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