中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on online trend omen extraction algorithm of sludge bulking

文献类型:会议论文

作者Yu GP(于广平); Wang JY(王景杨); Yuan MZ(苑明哲); Yu Y(郁洋)
出版日期2015
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
关键词sludge bulking trend omen extraction trend identification
页码1617-1621
中文摘要Sludge bulking is one of the most serious abnormal conditions in the sewage treatment process, which has important influence on the normal operation of sewage treatment plants. Achieving online trend omen extraction of sludge bulking is helpful to the prediction of sludge bulking, and plays an important role in the prevention of sludge bulking. Basing on the development of trend analysis technology, we improved the offline trend extraction method in order to make it better adapt to the online trend extraction. This method can effectively extract the trend information of process data with relatively low computational complexity, which can be applied on industrial online process and provide support for the trend information demand of expert system.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号2379-7711
ISBN号978-1-4799-8730-6
WOS记录号WOS:000380502300294
源URL[http://ir.sia.cn/handle/173321/17376]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Yu GP,Wang JY,Yuan MZ,et al. Research on online trend omen extraction algorithm of sludge bulking[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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