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Research on online trend omen extraction algorithm of sludge bulking
Yu GP(于广平); Wang JY(王景杨); Yuan MZ(苑明哲); Yu Y(郁洋)
Department信息服务与智能控制技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages1617-1621
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187765
WOS IDWOS:000380502300294
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordSludge Bulking Trend Omen Extraction Trend Identification
Abstract

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.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17376
Collection信息服务与智能控制技术研究室
Affiliation1.Shenyang Institute of Automation, Guangzhou, Chinese Academy of Science, Guangzhou, Guangdong Province, China
2.Shenyang Institute of Automation Chinese Academy of Science, Shenyang, Liaoning Province, China
Recommended Citation
GB/T 7714
Yu GP,Wang JY,Yuan MZ,et al. Research on online trend omen extraction algorithm of sludge bulking[C]. Piscataway, NJ, USA:IEEE,2015:1617-1621.
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