Time – frequency analysis based flow regime identification methods for airlift reactors / Lijia Luo in Industrial & engineering chemistry research, Vol. 51 N° 20 (Mai 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 20 (Mai 2012) . - pp. 7104-7112 Titre : Time – frequency analysis based flow regime identification methods for airlift reactors Type de document : texte imprimé Auteurs : Lijia Luo, Auteur ; Ying Yan, Auteur ; Yuanyuan Xu, Auteur Année de publication : 2012 Article en page(s) : pp. 7104-7112 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Bioreactor Airlift reactor Flow regime Résumé : The flow regime transitions in an airlift reactor were investigated based on pressure fluctuation signals. Two time―frequency analysis methods, i.e., Wigner―Ville distribution and wavelet transform, were used to extract flow regime characteristics from pressure signals. The main frequency derived from the smoothed pseudo-Wigner―Ville distribution of the pressure signal was used to quantify flow regime transitions in the reactor. Two flow regime transition points were successfully detected from the evolution of main frequencies of pressure signals. In addition, the local dynamic characteristics of the pressure signal at different frequency bands were analyzed by use of the wavelet transform. A new flow regime identification method based on the wavelet entropy of the pressure signal was proposed. This method was confirmed to be reliable and efficient to detect flow regime transitions in the reactor. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25925052 [article] Time – frequency analysis based flow regime identification methods for airlift reactors [texte imprimé] / Lijia Luo, Auteur ; Ying Yan, Auteur ; Yuanyuan Xu, Auteur . - 2012 . - pp. 7104-7112. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 20 (Mai 2012) . - pp. 7104-7112 Mots-clés : Bioreactor Airlift reactor Flow regime Résumé : The flow regime transitions in an airlift reactor were investigated based on pressure fluctuation signals. Two time―frequency analysis methods, i.e., Wigner―Ville distribution and wavelet transform, were used to extract flow regime characteristics from pressure signals. The main frequency derived from the smoothed pseudo-Wigner―Ville distribution of the pressure signal was used to quantify flow regime transitions in the reactor. Two flow regime transition points were successfully detected from the evolution of main frequencies of pressure signals. In addition, the local dynamic characteristics of the pressure signal at different frequency bands were analyzed by use of the wavelet transform. A new flow regime identification method based on the wavelet entropy of the pressure signal was proposed. This method was confirmed to be reliable and efficient to detect flow regime transitions in the reactor. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25925052

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
aucun exemplaire