LEADER 04376oam 2200613I 450 001 9910827811103321 005 20230725061010.0 010 $a0-429-11311-0 010 $a1-4398-9504-X 024 7 $a10.1201/9781439895047 035 $a(CKB)3710000000391203 035 $a(EBL)1446674 035 $a(SSID)ssj0001459075 035 $a(PQKBManifestationID)12629118 035 $a(PQKBTitleCode)TC0001459075 035 $a(PQKBWorkID)11456136 035 $a(PQKB)10663143 035 $a(MiAaPQ)EBC1446674 035 $a(Au-PeEL)EBL1446674 035 $a(CaPaEBR)ebr11166089 035 $a(OCoLC)908077671 035 $a(EXLCZ)993710000000391203 100 $a20180706d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntelligent instrumentation $eprinciples and applications /$fby Manabendra Bhuyan 205 $aFirst edition. 210 1$aBoca Raton, FL :$cCRC Press, an imprint of Taylor and Francis,$d2010. 215 $a1 online resource (548 p.) 300 $aDescription based upon print version of record. 311 $a1-4200-8953-6 327 $aFront cover; Contents; Preface; Acknowledgments; Author; Chapter 1. Background of Instrumentation; Chapter 2. Sensor Performance Characteristics; Chapter 3. Signals and System Dynamics; Chapter 4. Intelligent Sensors; Chapter 5. Linearization, Calibration, and Compensation; Chapter 6. Sensors with Artificial Intelligence; Chapter 7. Intelligent Sensor Standards and Protocols; Questions; Index; Back cover 330 3 $aWith 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. 606 $aIntelligent control systems 606 $aEngineering instruments 606 $aComputerized instruments 606 $aDetectors 615 0$aIntelligent control systems. 615 0$aEngineering instruments. 615 0$aComputerized instruments. 615 0$aDetectors. 676 $a681.2 686 $aTEC064000$aTEC008000$2bisacsh 700 $aBhuyan$b Manabendra$01645366 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827811103321 996 $aIntelligent instrumentation$93991773 997 $aUNINA