Multi-model modeling for activated sludge process based on clustering analysis under benchmark

doi:10.3923/jas.2013.3528.3532

	Multi-model modeling for activated sludge process based on clustering analysis under benchmark
	Wang, Qiang; Du, Xianjun; Yu, Ping; Ma, Yongwei
	2013
发表期刊	Journal of Applied Sciences
ISSN	18125654
卷号	13 期号:17 页码:3528-3532
摘要	For wastewater treatment processes, a single model suffers from heavy burden calculation and bad accuracy. A modeling method based on ARX (auto-regressive exogenous) multi-model using improved supervised k-means clustering algorithm is proposed. The method introduced the cluster center initialization idea of CCIA algorithm into classical k-means clustering algorithm applied to group the data into clusters or second clustering by judging a preset threshold value. It will improve the clustering results to make better services for the subsequent modeling work. And the least squares method is used to construct ARX sub-models. The system model is constructed by weighting all ARX sub-models. The proposed method is used to identify the ammonia concentration model for wastewater treatment system Benchmark. Simulation results show that the proposed method can be used to fit nonlinear characteristics of the system with high precision. © 2013 Asian Network for Scientific Information.
关键词	Activated sludge process Ammonia Least squares approximations Wastewater treatment Ammonia concentrations ARX model Cluster center initializations Least squares methods Multi model Nonlinear characteristics Wastewater treatment process Wastewater treatment system
DOI	10.3923/jas.2013.3528.3532
收录类别	EI
语种	英语
出版者	Asian Network for Scientific Information, 308-Lasani Town, Sargodha Road, Faisalabad, Pakistan
EI入藏号	20134717006675
EI主题词	K-means clustering
EI分类号	452.2 Sewage Treatment - 452.4 Industrial Wastes Treatment and Disposal - 804.2 Inorganic Compounds - 921.6 Numerical Methods
来源库	Compendex
分类代码	452.2 Sewage Treatment - 452.4 Industrial Wastes Treatment and Disposal - 804.2 Inorganic Compounds - 921.6 Numerical Methods
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/113261
专题	电气工程与信息工程学院
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, 730050, Lanzhou, Gansu, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Wang, Qiang,Du, Xianjun,Yu, Ping,et al. Multi-model modeling for activated sludge process based on clustering analysis under benchmark[J]. Journal of Applied Sciences,2013,13(17):3528-3532.
APA	Wang, Qiang,Du, Xianjun,Yu, Ping,&Ma, Yongwei.(2013).Multi-model modeling for activated sludge process based on clustering analysis under benchmark.Journal of Applied Sciences,13(17),3528-3532.
MLA	Wang, Qiang,et al."Multi-model modeling for activated sludge process based on clustering analysis under benchmark".Journal of Applied Sciences 13.17(2013):3528-3532.