Human Error Prediction and Control model using Recursive Partitioning

2014 ◽  
Author(s):  
P. Balasubramanian ◽  
K. Kalyanasundaram
Keyword(s):  
Human Error ◽  
Recursive Partitioning ◽  
Control Model ◽  
Error Prediction ◽  
Prediction And Control ◽  
And Control

scholarly journals Furnace heat prediction and control model and its application to large blast furnace

2019 ◽  
Vol 38 (2019) ◽  
pp. 884-891
Author(s):  
Zhuang-nian Li ◽  
Man-sheng Chu ◽  
Zheng-gen Liu ◽  
Gen-ji Ruan ◽  
Bao-feng Li
Keyword(s):  
Blast Furnace ◽  
Control Model ◽  
Heat Index ◽  
Model Parameters ◽  
Stable Operation ◽  
Oxygen Balance ◽  
Large Blast ◽  
Large Blast Furnace ◽  
Prediction And Control ◽  
And Control

AbstractBlast furnace heat is the key to the blast furnace’s high efficiency and stable operation, and it is difficult to maintain a suitable temperature for large blast furnace operations. When designing the furnace heat prediction and control model, parameters with good reliability and measurability should be chosen to avoid using less accurate parameters and to ensure the accuracy and practicability of the model. This paper presents an effective model for large blast furnace temperature prediction and control. Using thermal equilibrium and the carbon-oxygen balance of the blast furnace’s high-temperature zone, the slag-iron heat index was calculated. Using the relation between the molten iron temperature and slag-iron heat index, the furnace heat parameter can be calculated while production conditions are changed,which can guide furnace heat control.

Prediction and control model of shale induced fracture leakage pressure

2021 ◽  
Vol 198 ◽  
pp. 108186
Author(s):  
Xiaopeng Zhai ◽  
Hui Chen ◽  
Yishan Lou ◽  
Huimei Wu
Keyword(s):  
Control Model ◽  
Prediction And Control ◽  
And Control

Analysis of a safety planning and control model from the human error perspective

2005 ◽  
Vol 12 (3) ◽  
pp. 283-298 ◽  
Author(s):  
Tarcisio Abreu Saurin ◽  
Carlos Torres Formoso ◽  
Fabricio Borges Cambraia
Keyword(s):  
Human Error ◽  
Control Model ◽  
Safety Planning ◽  
Planning And Control ◽  
And Control

Prediction and Control for Profile Angle Error of Slotting Cutter of Herringbone Gear in Turbine Redactor

2010 ◽  
Vol 139-141 ◽  
pp. 1864-1868 ◽  
Author(s):  
Bi Wen Li ◽  
Jin Feng Xiao ◽  
Chun Liang Zhang ◽  
Liang Bin Hu
Keyword(s):  
Nuclear Power ◽  
Error Control ◽  
Economic Benefits ◽  
Error Prediction ◽  
Frequency Noise ◽  
Angle Error ◽  
Profile Angle ◽  
Prediction And Control ◽  
Herringbone Gear ◽  
And Control

Relative to gear shaping and gear hob, using gear slotting produces herringbone gear which is used in nuclear power turbine speed redactor has more obvious technical and economic benefits, but profile angle error of slotting cutter causes profile error and base pitch deviation of herringbone gear. It will result in high-frequency noise which damages the tactical and technical performance of warship. By analyzed the wire cutting system of rack cutter used in MAAG type gear machining for herringbone gear, the mathematical model of error prediction for rack cutter profile angle was founded. On the base of model of error prediction, the principle of error control and the method of revision control are presented. Finally, the example of prediction and control is provided.

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