A fault detection method based on Hellinger distance-weighted key principal components for the process industry

ZHAO Cheng, SU ShengChao

Journal of Beijing University of Chemical Technology ›› 2022, Vol. 49 ›› Issue (3) : 91-101.

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Journal of Beijing University of Chemical Technology ›› 2022, Vol. 49 ›› Issue (3) : 91-101. DOI: 10.13543/j.bhxbzr.2022.03.013
Mechanical Engineering and Informatics

A fault detection method based on Hellinger distance-weighted key principal components for the process industry

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2022, 49(3): 91-101 https://doi.org/10.13543/j.bhxbzr.2022.03.013

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