Description
Book SynopsisWith 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
Table of Contents
Background of Instrumentation. Sensor Performance Characteristics. Signals and System Dynamics. Intelligent Sensors. Linearization, Calibration, and Compensation. Sensors with Artificial Intelligence. Intelligent Sensor Standards and Protocols. Questions. Index
