An empirical likelihood-based CUSUM for on-line model change detection

2019 ◽  
Vol 49 (8) ◽  
pp. 1818-1839 ◽  
Author(s):  
Ghislain Verdier
2021 ◽  
Vol 38 (12) ◽  
pp. 943-951
Author(s):  
Min Sik Chu ◽  
Hyun Ah Kim ◽  
Kyu Jong Lee ◽  
Ji Hoon Kang

2003 ◽  
Author(s):  
A. Mukhopadhyay ◽  
S. Sikdar ◽  
S. Sen

A Mathematical model has been developed to predict the temperature profile of the strip during water-cooling on the Run-out Table (ROT) of the Hot Strip Mill (HSM). This work describes the development and implementation of the model at Tisco’s HSM. The model has been developed using Explicit Finite Difference technique to predict the coiling temperature (CT). The model has been implemented successfully after having been validated with the actual coiling temperature (CT) for several thousand coils. A number of grades of steel with various thicknesses have been tested with this on-line model and the agreement of actual CT with the predicted ones was found very good. The on-line model is used to calculate the cooling rates at different segments of the strip that are used to obtain microstructure and mechanical properties.


AIChE Journal ◽  
2016 ◽  
Vol 63 (3) ◽  
pp. 949-966 ◽  
Author(s):  
Anas Alanqar ◽  
Helen Durand ◽  
Panagiotis D. Christofides

1990 ◽  
Vol 12 (4) ◽  
pp. 181-189 ◽  
Author(s):  
A.A. Tseng ◽  
F.H. Lin ◽  
T.J. Zhao
Keyword(s):  

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