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DATA-DRIVEN MODELS FOR FAULT DETECTION USING KERNEL PCA: A WATER DISTRIBUTION SYSTEM CASE STUDY.

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Title: DATA-DRIVEN MODELS FOR FAULT DETECTION USING KERNEL PCA: A WATER DISTRIBUTION SYSTEM CASE STUDY.
Authors: NOWICKI, ADAM1 adam.j.nowicki@gmail.com, GROCHOWSKI, MICHAŁ1 m.grochowski@ely.pg.gda.pl, DUZINKIEWICZ, KAZIMIERZ1 k.duzinkiewicz@ely.pg.gda.pl
Source: International Journal of Applied Mathematics & Computer Science. Dec2012, Vol. 22 Issue 4, p939-949. 11p.
Database: Mathematics Source
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  Data: DATA-DRIVEN MODELS FOR FAULT DETECTION USING KERNEL PCA: A WATER DISTRIBUTION SYSTEM CASE STUDY.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Applied+Mathematics+%26+Computer+Science%22">International Journal of Applied Mathematics & Computer Science</searchLink>. Dec2012, Vol. 22 Issue 4, p939-949. 11p.
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        Value: 10.2478/v10006-012-0070-1
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      – TitleFull: DATA-DRIVEN MODELS FOR FAULT DETECTION USING KERNEL PCA: A WATER DISTRIBUTION SYSTEM CASE STUDY.
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              Text: Dec2012
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