Geschäftskunden Kundenprogramme
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Process Plant Instrumentation
  • Produktbild: Process Plant Instrumentation

Process Plant Instrumentation Design and Upgrade

Fr. 613.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

27.11.2000

Verlag

Taylor and Francis

Seitenzahl

364

Maße (L/B/H)

23.5/15.7/2.4 cm

Gewicht

621 g

Sprache

Englisch

ISBN

978-1-56676-998-3

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

27.11.2000

Verlag

Taylor and Francis

Seitenzahl

364

Maße (L/B/H)

23.5/15.7/2.4 cm

Gewicht

621 g

Sprache

Englisch

ISBN

978-1-56676-998-3

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
Die Leseprobe wird geladen.
  • Produktbild: Process Plant Instrumentation
  • Produktbild: Process Plant Instrumentation
  • 1. Plant Data Management o Introduction o Plant Information and Operations Management o Model-Based Monitoring o Quality of Data 2. Instrumentation Design Goals o Introduction o Measured and Key Variables o Selection of Monitoring Variables o Selection of Key Variables in Control o Selection of Measured Variables for Fault Diagnosis o Instrumentation Design Goals o Upgrading of Instrumentation 3. Instrumentation o Introduction o Flow Rate Instrumentation o Level Measurement o Temperature Measurement o Pressure Measurement o Density Measurement o On-Line Process Analyzers o Transmission and Transformation of Signals 4. Errors in Measurement o Introduction o Instrument Properties o Measurement Quality o Sensitivity and Speed of Response o Hysteresis and Dead Band o Calibration Curves o Accuracy of Different Instruments 5. Variable Classification o Introduction o Model o Measurement Equation o Graphs and Flowsheets o Connectivity of Systems o Observability o Redundancy o Linear Systems o Canonical Representation of Linear Systems o System Degree of Redundancy o Quantification of Observability and Redundancy o Graphs and Canonical Matrices o Nonlinear Systems 6. Design and Upgrade of Nonredundant and Redundant Sensor Networks o Introduction o Upgrade and/or Design Goals o Design for Estimability o Design for Estimability Efficiency o Compulsory Measurements and the Upgrade Case o Sensor Networks for Bilinear Systems 7. Data Reconciliation o Data Reconciliation o Background o Linear Data Reconciliation o Steady-State Linear Data Reconciliation o Nonlinear Steady-State Data Reconciliation o Dynamic Data Reconciliation 8. Design of Accurate Sensor Networks o Introduction o Cost-Optimal Design o Multiple Instruments and Hardware Redundancy o Maximum Precision Models o Generalized Maximum Precision Model o Relation Between Sensor Network Models o Solution Procedures for Linear Systems o Parameter Estimation in Nonlinear Systems 9. Precision Upgrade of Sensor Networks o Introduction o Upgrade Options o Cost Benefit Analysis o Upgrade Models Based on Addition of Sensors o Model for Resource Reallocation o Generalized Model for Resource Reallocation and Upgrade 10. Reliability of Nonrepairable Sensor Networks o Introduction o Sensor Service Availability o Sensor Service Reliability o Failure Density and Failure Rate o Markovian Model o Mean Time to Failure o Estimation Availability and Reliability of Variables o Determination of Estimation of Reliability o Estimation Reliability in Nonredundant Systems o Availability, Reliability and Degree of Estimability o System Availability and Reliability 11. Design of Reliable Linear Nonrepairable Sensor Networks o Introduction o Nonredundant Networks Featuring Maximum Reliability o Redundant Networks Featuring Maximum Reliability and Hardware Redundancy o Redundant and Restricted Networks 12. Design of Reliable Bilinear Nonrepairable Sensor Networks o Introduction o Bilinear Multicomponent Systems o Energy Networks 13. Design of Reliable and Cost-Efficient Nonrepairable Sensor Networks o Introduction o Minimum Cost Model o Minimum Number of Sensors Model o Solution Procedure o Relation to Other Models o Limitations of Previous Models o Generalized Maximum Reliability Model 14. Design of Repairable Sensor Networks o Introduction o Failure Intensity o Repair Intensity o Expected Number of Repairs o Maintenance and Total Cost o Residual Precision o Minimum Cost Model 15. Design of Robust Sensor Networks o Introduction o Origin of Gross Errors o Gross Error Handling o Test for Gross Error Presence o Gross Error Detection in Dynamic Data o Reconciliation o Inaccuracy in Gross Error Detection o Multiple Gross Error Identification o Gross Error Size Estimation o Sensor Network Error Detectability o Sensor Network Gross Error Resilience o Robust Sensor Networks o Minimum Cost Model for Robust Networks 16. Genetic Algorithms o Introduction o Genetic Algorithms 17. Design of Sensors for Process Fault Diagnosis o Introduction o Fault Detection, Diagnosis and Alarms o Fault Observability o Fault Resolution o Sensor Network Design o Sensor Location for Fault Observability o Sensor Location for Fault Resolution Index