Spelling suggestions: "subject:"canprocess control"" "subject:"3.3vprocess control""
101 |
Model-based analyses of human performance in two process control tasksReidy, Maureen Ann 12 1900 (has links)
No description available.
|
102 |
Interaction measures for nonsquare decentalized control structuresReeves, Deborah Edwards 05 1900 (has links)
No description available.
|
103 |
A comprehensive approach to control configuration design for complex systemsReeves, Deborah Edwards 05 1900 (has links)
No description available.
|
104 |
A methodology for the synthesis of robust decentralized control systemsChiu, Min-Sen 05 1900 (has links)
No description available.
|
105 |
Real time control of combustor and engine processesChristopher, Matthew L. 05 1900 (has links)
No description available.
|
106 |
Active statistical process controlIbrahim, Kamarul Asri January 1989 (has links)
Most Statistical Process Control (SPC) research has focused on the development of charting techniques for process monitoring. Unfortunately, little attention has been paid to the importance of bringing the process in control automatically via these charting techniques. This thesis shows that by drawing upon concepts from Automatic Process Control (APC), it is possible to devise schemes whereby the process is monitored and automatically controlled via SPC procedures. It is shown that Partial Correlation Analysis (PCorrA) or Principal Component Analysis (PCA) can be used to determine the variables that have to be monitored and manipulated as well as the corresponding control laws. We call this proposed procedure Active SPC and the capabilities of various strategies that arise are demonstrated by application to a simulated reaction process. Reactor product concentration was controlled using different manipulated input configurations e.g. manipulating all input variables, manipulating only two input variables, and manipulating only a single input variable. The last two manipulating schemes consider the cases when all input variables can be measured on-line but not all can be manipulated on-line. Different types of control charts are also tested with the new Active SPC method e.g. Shewhart chart with action limits; Shewhart chart with action and warning limits for individual observations, and lastly the Exponentially Weighted Moving Average control chart. The effects of calculating control limits on-line to accommodate possible changes in process characteristics were also studied. The results indicate that the use of the Exponentially Weighted Moving Average control chart, with limits calculated using Partial Correlations, showed the best promise for further development. It is also shown that this particular combination could provide better performance than the common Proportional Integral (PI) controller when manipulations incur costs.
|
107 |
Subspace identification methods for process dynamic modeling /Shi, Ruijie. January 2001 (has links)
Thesis (Ph.D.) -- McMaster University, 2001. / Includes bibliographical references. Also available via World Wide Web.
|
108 |
Statistical validation in process capability for a high pressure flexible polyurethane foam pouring machineKetter, Kevin M. January 2007 (has links) (PDF)
Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2007. / Includes bibliographical references.
|
109 |
Decision mechanism, knowledge representation, and software architecture for an intelligent control system /Malaviya, Anoop Kumar. January 1997 (has links)
Thesis (Ph. D.)--University of Western Australia, 1998.
|
110 |
The development of systematic controllability assessment for process control designs /Ekawati, Estiyanti. January 2003 (has links)
Thesis (Ph.D.) --Murdoch University, 2003. / Thesis submitted to the Division of Science and Engineering. Includes bibliographical references.
|
Page generated in 0.4429 seconds