Process imaging for automatic control
by McCann, Hugh Scott, David M.
As industrial processes and their control models increase in complexity, the data provided by traditional point sensors is no longer adequate to ensure product quality and cost-effective implementation. Scott (DuPont r & d) and McCann (U. of Manchester) show how in-process imaging technologies surpass the limitations of traditional monitoring systems.
Read More ↓Title Statements
- Full title :Process imaging for automatic control / [edited by] David M. Scott, Hugh McCann.
Summary
As industrial processes and their control models increase in complexity, the data provided by traditional point sensors is no longer adequate to ensure product quality and cost-effective implementation. Scott (DuPont r & d) and McCann (U. of Manchester) show how in-process imaging technologies surpass the limitations of traditional monitoring systems.
Read More ↓Edition Statements
- Publication Date:2005.
Publication Statements
- Publisher(s):Taylor & Francis
- Place of Publication:Boca Raton, Fla
- Language:eng
- Publication Date:2005.
The Physical Object
- Description:1 online resource (439 pages) : : illustrations.
Edition Identifiers
- ISBN:0824759206, 9780824759209, 1420028197, 9781420028195
- oclc:ocn309876768
- LC Classification:TA417.25
- Dewey Decimal:670.42/7
Table of Contents
Front Cover; Preface; Editors; Contributors; Contents; 1. The Challenge; 2. Process Modeling; 3. Direct Imaging Technology; 4. Process Tomography; 5. Image Processing and Feature Extraction; 6. State Estimation; 7. Control Systems; 8. Imaging Diagnostics for Combustion Control; 9. Multiphase Flow Measurements; 10. Applications in the Chemical Process Industry; 11. Mineral and Material Processing; 12. Applications in the Metals Production Industry; Index.
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