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Agglomeration detection by acoustic emission (AE) sensors in fluidized beds / Wang Jingdai in Industrial & engineering chemistry research, Vol. 48 N° 7 (Avril 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 7 (Avril 2009) . - pp. 3466–3473 Titre : Agglomeration detection by acoustic emission (AE) sensors in fluidized beds Type de document : texte imprimé Auteurs : Wang Jingdai, Auteur ; Yijia Cao, Auteur ; Xiaojing Jiang, Auteur Année de publication : 2009 Article en page(s) : pp. 3466–3473 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Fluidized  beds  Polyolefin  Acoustic  emission  sensors  Chaos  analysis Résumé : The occurrence of agglomeration in fluidized-bed production of polyolefin can have negative impacts on the efficiency of the reactor operation and may lead to defluidization and unscheduled shutdown of the plant. A novel method by using acoustic emission (AE) sensors was developed to detect different types of agglomeration in fluidized bed. Chaos analysis was discussed, and coefficients of malfunction were defined to recognize agglomeration. AE signals we divided into micro-, meso-, and macroscales by wavelet transform, and on the basis of the energy of mesoscale fraction analysis of AE signals, a prediction model was developed to predict the size of moving chunks in the bed. The application effect of AE method was illustrated with experiments carried out both in laboratory and the plant. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800324m [article] Agglomeration detection by acoustic emission (AE) sensors in fluidized beds [texte imprimé] / Wang Jingdai, Auteur ; Yijia Cao, Auteur ; Xiaojing Jiang, Auteur . - 2009 . - pp. 3466–3473. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 7 (Avril 2009) . - pp. 3466–3473 Mots-clés : Fluidized  beds  Polyolefin  Acoustic  emission  sensors  Chaos  analysis Résumé : The occurrence of agglomeration in fluidized-bed production of polyolefin can have negative impacts on the efficiency of the reactor operation and may lead to defluidization and unscheduled shutdown of the plant. A novel method by using acoustic emission (AE) sensors was developed to detect different types of agglomeration in fluidized bed. Chaos analysis was discussed, and coefficients of malfunction were defined to recognize agglomeration. AE signals we divided into micro-, meso-, and macroscales by wavelet transform, and on the basis of the energy of mesoscale fraction analysis of AE signals, a prediction model was developed to predict the size of moving chunks in the bed. The application effect of AE method was illustrated with experiments carried out both in laboratory and the plant. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800324m