External analysis-based fuzzy PLS model for prediction and monitoring in MBR

Autor:	ChangKyoo Yoo, Seung-Chul Lee, MingJung Kim, Hongbin Liu, TaeSuk Oh, Min-Kyeong Yeo
Rok vydání:	2012
Předmět:	Engineering External variable Fouling business.industry Process (computing) Ocean Engineering Membrane bioreactor Pollution Fuzzy logic Control theory Viscosity (programming) Partial least squares regression business Water Science and Technology Interpretability
Zdroj:	Desalination and Water Treatment. 43:185-192
ISSN:	1944-3986 1944-3994
DOI:	10.1080/19443994.2012.672169
Popis:	In general, the operation conditions of water treatment plants happen to be affected by external environmental variations such as temperature, viscosity, and loading changes. They sometimes result in bad treatment performance due to fouling or sludge decay and some process faults. Therefore, when designing a process model, negative effects of the external variables are needed to be incorporated. The purposes of this study are to propose a new external fuzzy partial least squares method (eFPLS) and apply it to predict the treatment performance of a pilot-scale membrane bioreactor (MBR). The proposed eFPLS model can represent an interpretability of the original FPLS of the inner and outer relationship with the viewpoint of physical meaning as well as keeping the capability of the original FPLS with handling the nonlinear correlation between inputs and outputs, while incorporating operation condition changes by the external analysis. It was used to predict the transmembrane pressure and the removal ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b63ea2de285924a1438046f5ac5b6fcf https://doi.org/10.1080/19443994.2012.672169 Zobrazit plný text záznamu