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Simplification of raw data set during the fault detection process
Li JN(李金娜); Li Y(李元); Wu HY(吴会咏); Zhang QL(张庆灵)
Department工业控制网络与系统研究室
Conference Name31st Chinese Control Conference, CCC 2012
Conference DateJuly 25-27, 2012
Conference PlaceHefei, China
Author of SourceTechnical Committee on Control Theory, CAA; Systems Engineering Society of China; University of Science and Technology of China; Academy of Mathematics and Systems Science, CAS; China Society for Industrial and Applied Mathematics
Source PublicationProceedings of the 31st Chinese Control Conference, CCC 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC, USA
2012
Pages5280-5284
Indexed ByEI ; CPCI(ISTP)
EI Accession number20130716024361
WOS IDWOS:000393905905074
Contribution Rank1
ISSN1934-1768
ISBN978-9-8815-6381-1
KeywordData Reduction
AbstractA novel simplification of database technique is proposed to explicitly account for compromise of low cost and high detection performance used to fault identification in the practical industrial processes. Based on the principle of Mahalanobis distance, the samples with the similar characteristics are replaced by the mean of them, so that the number of raw data set is reduced easily. Moreover, the supper ball domains of mean and variance of samples are presented, which not only retain the statistical properties of raw data set but also avoid the reduction of data unlimitedly. Finally, numerical examples and simulations are given to illustrate the effectiveness of the proposed method. © 2012 Chinese Assoc of Automati.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10407
Collection工业控制网络与系统研究室
Affiliation1.Department of Science, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China
2.Key Lab of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
3.Information Engineering School, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China
4.Institute of Systems Science, Northeastern University, Shenyang, Liaoning 110004, China
Recommended Citation
GB/T 7714
Li JN,Li Y,Wu HY,et al. Simplification of raw data set during the fault detection process[C]//Technical Committee on Control Theory, CAA; Systems Engineering Society of China; University of Science and Technology of China; Academy of Mathematics and Systems Science, CAS; China Society for Industrial and Applied Mathematics. Washington, DC, USA:IEEE Computer Society,2012:5280-5284.
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