Author: Yu-Liang ChungPublisher:
ISBN:
Category :
Languages : en
Pages : 308
Book Description
Adaptive Compensation of Dynamic Characteristics of In-process Sensors
Author: Yu-Liang ChungModel Based Adaptive Compensation of Dynamic Characteristics of In-process Sensors
Author: Yu-Liang ChungAdaptive Compensation of Dynamic Characteristics of Mechanical Presses
Author: Michael F. YoderAutomatic Supervision in Manufacturing
Author: Maciej SzafarczykPublisher: Springer Science & Business Media
ISBN: 1447134583
Category : Technology & Engineering
Languages : en
Pages : 291
Book Description
Automation is a predominant objective in the development of modern and advanced manufacturing production. Automatic Supervision in Manufacturing (ASM) addresses unavoidable disturbances occurring during production. Its application results in the unmanned functioning of manufacturing systems through comprehensive and reliable supervision. Automatic Supervision in Manufacturing is a collection of contributions written by specialists in the field from Europe and the USA. It deals with the concept of automatic supervision, the classification of supervisory systems and their functions. This publication will be of great interest to researchers and engineers in the areas of production and manufacturing.
Journal of Engineering for Industry
Author: Intelligent Instrumentation
Author: Manabendra BhuyanPublisher: CRC Press
ISBN: 1420089536
Category : Technology & Engineering
Languages : en
Pages : 548
Book Description
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.
Author: 
Author: David Nelson Beal
Author: 
Author: