Distillation Process Fault Detection by CUSUM Test

dc.contributor.author	Lakhdar, Aggoune
dc.contributor.author	Yahya, Chetouani
dc.date.accessioned	2017-10-29T09:07:39Z
dc.date.available	2017-10-29T09:07:39Z
dc.date.issued	2017-09-16
dc.identifier.issn	2437-0371
dc.identifier.uri	http://dspace.univ-djelfa.dz:8080/xmlui/handle/123456789/634
dc.description.abstract	In this work, The CUSUM (Cumulative Sum) test is employed to determine the real operating conditions of nonlinear processes as a separation unit. To do this, the normal behavior of the system is first predicted by means of a Nonlinear Auto-Regressive Moving Average with eXogenous input (NARMAX) model and then the residual between the real and estimated output of system is evaluated at each time by taking new observations of the process output under consideration. Finally, the thresholds on the CUSUM test are derived such that when the updated residual exceeds the thresholds an alarm is triggered.	en_EN
dc.description.sponsorship	Applied Automation and Industrial Diagnostics Laboratory University of Djelfa, 17000 DZ, Algeria LAADI Djelfa	en_EN
dc.language.iso	en	en_EN
dc.publisher	The 2sd International Conference on Applied Automation and Industrial Diagnostics (ICAAID 2017), Djelfa on 16-17 September 2017, Algeria	en_EN
dc.subject	Black-box modeling	en_EN
dc.subject	NARMAX model	en_EN
dc.subject	CUSUM test	en_EN
dc.subject	Fault detection	en_EN
dc.subject	industrial processes	en_EN
dc.title	Distillation Process Fault Detection by CUSUM Test	en_EN
dc.type	Article	en_EN