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Outlier-Tolerant Fitting and Online Diagnosis of Outliers in Dynamic Process Sampling Data Series
Xian Satellite Control Ctr, State Key Lab Astronaut, Xian 710043, Peoples R China.;Xian Univ Technol, Xian 710048, Peoples R China..
Xian Univ Technol, Xian 710048, Peoples R China..
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9706-5008
Univ Liverpool, Liverpool L69 3BX, Merseyside, England..
2011 (English)In: ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT III / [ed] Deng, H Miao, DQ Lei, JS Wang, FL, SPRINGER-VERLAG BERLIN , 2011, p. 195-+Conference paper, Published paper (Refereed)
Abstract [en]

Outliers as well as outlier patches, which widely emerge in dynamic process sampling data series, have strong bad influence on signal processing. In this paper, a series of recursive outlier-tolerant fitting algorithms are built to fit reliably the trajectories of a non-stationary sampling process when there are some outliers arising from output components of the process. Based on the recursive outlier-tolerant fitting algorithms stated above, a series of practical programs are given to online detect outliers in dynamic process and to identify magnitudes of these outliers as well as outlier patches. Simulation results show that these new methods are efficient.

Place, publisher, year, edition, pages
SPRINGER-VERLAG BERLIN , 2011. p. 195-+
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 7004
Keywords [en]
Outlier-Tolerance, Outlier Detection, Magnitude Identification, Non-stationary Signals, Sensors Fault
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-243219ISI: 000309149800023Scopus ID: 2-s2.0-80054077967ISBN: 978-3-642-23895-6 (print)ISBN: 978-3-642-23896-3 (print)OAI: oai:DiVA.org:kth-243219DiVA, id: diva2:1356360
Conference
3rd International Conference on Artificial Intelligence and Computational Intelligence (AICI 2011), SEP 23-25, 2011, Taiyuan, PEOPLES R CHINA
Note

QC 20191001

Available from: 2019-10-01 Created: 2019-10-01 Last updated: 2019-10-01Bibliographically approved

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Meinke, Karl

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CiteExportLink to record
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  • apa
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  • ieee
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