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Multi-model modeling for activated sludge process based on clustering analysis under benchmark | |
Wang, Qiang; Du, Xianjun![]() ![]() | |
2013 | |
发表期刊 | Journal of Applied Sciences
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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
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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. |
条目包含的文件 | 条目无相关文件。 |
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