Fault detection and monitoring using Multiscale PCA

Siti Nur Suhaila Mirin Siti Nur Suhaila Mirin,Norhaliza Abdul Wahab

doi:10.1109/icsgrc.2013.6653265

Fault detection and monitoring using Multiscale PCA

Siti Nur Suhaila Mirin Siti Nur Suhaila Mirin, Norhaliza Abdul Wahab

https://doi.org/10.1109/icsgrc.2013.6653265

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Publication Date: Aug 1, 2013

Citations: 1

Affiliation: University of Technology Malaysia

#Multiscale Principal Component Analysis #Conventional Principal Component Analysis + Show 8 more

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Abstract

In this paper, enhanced method of Principal Component Analysis (PCA) which is Multiscale PCA over conventional PCA to detect fault and monitoring is discussed. Both methods are applied to benchmark ASM 1 Wastewater Treatment Plant (WWTP) system. Then faulty data are detected with SPE and T <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> statistic. The results show the advantages of applying MSPCA over conventional PCA.

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