The Study of Membrane Fouling Modeling Method Based on Support Vector Machine forSewage Treatment Membrane Bioreactor

摘要：

The membrane bioreactor(MBR) ia a new technology of sewage treatment combining the membrane with the bioreactor, but the membrane fouling is an important factor to limit the MBR further development. Considering the issues that the relationship between the membrane fouling and affecting factors is a complicated and nonlinear, a modeling method based on support vector machine(SVM) is presented in this paper. The main parameters of affecting MBR membrane fouling is studied. The SVM network structure for membrane fouling is established. Moreover, we propose a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters, thereby enhancing the converging speed and the predicting accuracy. With the ability of strong self-learning and well generalization of SVM, the modeling method can detect and assesse the membrane fouling degree of MBR in real time by learning the membrane fouling information. The detection results show that this method is feasible and effective.

作者: Meijuan GAO Jingwen TIAN Jin LI

作者单位: Beijing Union University, China Beijing University of Chemical Technology, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）