Cointegration testing method for monitoring nonstationary processes / Qian Chen in Industrial & engineering chemistry research, Vol. 48 N° 7 (Avril 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 7 (Avril 2009) . - pp. 3533–3543 Titre : Cointegration testing method for monitoring nonstationary processes Type de document : texte imprimé Auteurs : Qian Chen, Auteur ; Uwe Kruger, Auteur ; Andrew Y. T. Leung, Auteur Année de publication : 2009 Article en page(s) : pp. 3533–3543 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Cointegration testing method Nonstationary process Dynamic equilibrium Autocorrelated residual sequence Résumé : This paper introduces cointegration testing method for nonstationary process monitoring, which yields a long-run dynamic equilibrium relationship for nonstationary process systems. The process variables are examined, and then a cointegration model of the tested nonstationary variables is identified. The residual sequence of the cointegration model describes the dynamic equilibrium errors of the nonstationary process system and can be further analyzed for condition monitoring and fault detection purposes. The autocorrelated residual sequence is filtered with AR model first, then compensated to keep the fault signatures from being distorted by the filtering process. An application case study to an industrial distillation unit with a nonstatioanry process shows that a tidy cointegration model can describe the dynamic equilibruim state of the unit and correctly detect abnormal behavior of the process. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801611s [article] Cointegration testing method for monitoring nonstationary processes [texte imprimé] / Qian Chen, Auteur ; Uwe Kruger, Auteur ; Andrew Y. T. Leung, Auteur . - 2009 . - pp. 3533–3543. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 7 (Avril 2009) . - pp. 3533–3543 Mots-clés : Cointegration testing method Nonstationary process Dynamic equilibrium Autocorrelated residual sequence Résumé : This paper introduces cointegration testing method for nonstationary process monitoring, which yields a long-run dynamic equilibrium relationship for nonstationary process systems. The process variables are examined, and then a cointegration model of the tested nonstationary variables is identified. The residual sequence of the cointegration model describes the dynamic equilibrium errors of the nonstationary process system and can be further analyzed for condition monitoring and fault detection purposes. The autocorrelated residual sequence is filtered with AR model first, then compensated to keep the fault signatures from being distorted by the filtering process. An application case study to an industrial distillation unit with a nonstatioanry process shows that a tidy cointegration model can describe the dynamic equilibruim state of the unit and correctly detect abnormal behavior of the process. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801611s

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