Using Artificial Neural networks for the modelling of a distillation column. - Yahya Chetouani (Int. J. Comput. Sci. Appl., 2007)

A non-linear auto-regressive moving average with exogenous input non-linear modelling and fault detection using the cumulative sum (Page-Hinkley) test: application to a reactor. - Yahya Chetouani (Int. J. Comput. Appl. Technol., 2008)

Using neural networks for fault detection in a distillation column. - I. Manssouri; Yahya Chetouani; B. El Kihel (Int. J. Comput. Appl. Technol., 2008)

Using neural networks and statistical tests for detecting changes in the process dynamics. - Yahya Chetouani (Int. J. Model. Identif. Control., 2008)

Model-order reduction based on artificial neural networks for accurate prediction of the product quality in a distillation column. - Yahya Chetouani (Int. J. Autom. Control., 2009)

Use of a neural-network-based approach for a reliable modelling of a distillation column. - Yahya Chetouani (Int. J. Model. Identif. Control., 2010)

Modeling of a distillation column based on NARMAX and Hammerstein models. - Lakhdar Aggoune; Yahya Chetouani (Int. J. Model. Simul. Sci. Comput., 2017)

Fault detection strategy combining NARMAX model and Bhattacharyya distance for process monitoring. - Lakhdar Aggoune; Yahya Chetouani (J. Frankl. Inst., 2021)