Growth monitoring and control in complex medium: A case study employing fed-batch penicillin fermentation and computer-aided on-line mass balancing

1983 ◽  
Vol 25 (1) ◽  
pp. 257-269 ◽  
Author(s):  
Duen-Gang Mou ◽  
Charles L. Cooney
Keyword(s):  
Complex Medium ◽  
Growth Monitoring ◽  
Monitoring And Control ◽  
Fed Batch ◽  
Computer Aided ◽  
On Line ◽  
Mass Balancing ◽  
And Control ◽  
Penicillin Fermentation

Monitoring and control of fed-batch penicillin fermentation

1992 ◽  
Vol 16 ◽  
pp. S297-S304 ◽  
Author(s):  
Claus L. Johansen ◽  
Lars H. Christensen ◽  
Jens Nielsen ◽  
John Villadsen
Keyword(s):  
Monitoring And Control ◽  
Fed Batch ◽  
And Control ◽  
Penicillin Fermentation

scholarly journals On-line Monitoring and Control of Fed-batch Fermentations in Winemaking

2016 ◽  
Vol 70 (12) ◽  
pp. 900-901
Author(s):  
Michal Dabros ◽  
Giorgio Genasci ◽  
Lucien Blanchard ◽  
Samuel Unterhofer ◽  
Olivier Vorlet ◽  
...  
Keyword(s):  
Monitoring And Control ◽  
Fed Batch ◽  
On Line ◽  
And Control

Directed earned value management based on ordered fuzzy numbers

2021 ◽  
pp. 1-14
Author(s):  
Seyed Taha Hossein Mortaji ◽  
Siamak Noori ◽  
Morteza Bagherpour
Keyword(s):  
Fuzzy Numbers ◽  
Lower Cost ◽  
Project Managers ◽  
Value Management ◽  
Monitoring And Control ◽  
Earned Value ◽  
Earned Value Management ◽  
Project Monitoring ◽  
And Control

Earned value management is well-known as the most efficient method of project monitoring and control providing relatively reliable information about the project performance. However, this method requires accurate estimates of the progress of project activities, which are always associated with uncertainties that, if ignored or not addressed well, lead to incorrect results. To address this issue, the application of multi-valued logic, in particular fuzzy logic, in earned value management has recently attracted a lot of attention both in practice and research. This paper introduces directed earned value management (DEVM) in which ordered fuzzy numbers are used to express the so-called uncertainties as well as to capture more information about the trend of the project progress. To evaluate the performance of the proposed method, several numerical examples and a case study are presented. The results reveal that compared to the existing methods, DEVM has a lower computational complexity. Also, it doesn’t suffer from the overestimation effect and as a result, it has a higher ability to express project-specific dynamics. In sum, the proposed method allows project managers to make informed decisions that lead to taking preventive and corrective actions promptly and at a lower cost.

Infrared Sensing for On-Line Weld Geometry Monitoring and Control

1995 ◽  
Vol 117 (3) ◽  
pp. 323-330 ◽  
Author(s):  
P. Banerjee ◽  
S. Govardhan ◽  
H. C. Wikle ◽  
J. Y. Liu ◽  
B. A. Chin
Keyword(s):  
Plate Thickness ◽  
Welding Process ◽  
Temperature Gradients ◽  
Monitoring And Control ◽  
Depth Of Penetration ◽  
Bead Width ◽  
Weld Geometry ◽  
On Line ◽  
And Control ◽  
Welding Processes

This paper describes a method for on-line weld geometry monitoring and control using a single front-side infrared sensor. Variations in plate thickness, shielding gas composition and minor element content are known to cause weld geometry changes. These changes in the weld geometry can be distinctly detected from an analysis of temperature gradients computed from infrared data. Deviations in temperature gradients were used to control the bead width and depth of penetration during the welding process. The analytical techniques described in this paper have been used to control gas tungsten arc and gas metal arc welding processes.

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