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题名: Research on online trend omen extraction algorithm of sludge bulking
作者: Yu GP(于广平); Wang JY(王景杨); Yuan MZ(苑明哲); Yu Y(郁洋)
作者部门: 信息服务与智能控制技术研究室
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
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
出版日期: 2015
页码: 1617-1621
收录类别: EI ; CPCI(ISTP)
ISSN号: 2379-7711
ISBN号: 978-1-4799-8730-6
关键词: sludge bulking ; trend omen extraction ; trend identification
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.
语种: 英语
产权排序: 1
WOS记录号: WOS:000380502300294
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17376
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
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.
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