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Process Plant Instrumentation: Design and Upgrade

Autor Miguel J. Bagajewicz
en Limba Engleză Hardback – 27 noi 2000
This in-depth presentation of current analytical methods for optimal design, selection, and evaluation of instrumentation for process plants is clear, concise, and systematic-providing a valuable tool for improving quality, costs, safety, loss prevention, and production accounting. The author concentrates on determining the optimal set of measured variables and selecting the accuracy and reliability of the corresponding instruments. The goal is to observe and diagnose single and multiple process faults and to obtain sufficiently accurate and reliable estimates of variables of interest while filtering bad data caused by possible instrument malfunction.
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Specificații

ISBN-13: 9781566769983
ISBN-10: 1566769981
Pagini: 364
Dimensiuni: 152 x 229 x 26 mm
Greutate: 0.62 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Professional

Cuprins

Plant Data Management. Instrumentation Design Goals. Instrumentation. Errors in Measurement. Variable Classification. Design and Upgrade of Nonredundant and Redundant Sensor Networks. Data Reconciliation. Design of Accurate Sensor Networks. Precision Upgrade of Sensor Networks. Reliability of Nonrepairable Sensor Networks. Design of Reliable Linear Nonrepairable Sensor Networks. Design of Reliable Bilinear Nonrepairable Sensor Networks. Design of Reliable and Cost-Efficient Nonrepairable Sensor Networks. Design of Repairable Sensor Networks. Design of Robust Sensor Networks. Genetic Algorithms. Design of Sensors for Process Fault Diagnosis.

Descriere

This in-depth presentation of current analytical methods for optimal design, selection, and evaluation of instrumentation for process plants is clear, concise, and systematic-providing a valuable tool for improving quality, costs, safety, loss prevention, and production accounting. The author concentrates on determining the optimal set of measured variables and selecting the accuracy and reliability of the corresponding instruments. The goal is to observe and diagnose single and multiple process faults and to obtain sufficiently accurate and reliable estimates of variables of interest while filtering bad data caused by possible instrument malfunction.