Industrial process fault detection based on AOA optimized SVM

LI Xin-ni, WANG Ya-jun, XU Xiao-ting

Modern Chemical Industry ›› 2024, Vol. 44 ›› Issue (S2) : 343-347,354.

PDF(2312 KB)
PDF(2312 KB)
Modern Chemical Industry ›› 2024, Vol. 44 ›› Issue (S2) : 343-347,354. DOI: 10.16606/j.cnki.issn0253-4320.2024.S2.060
Industrial Technology

Industrial process fault detection based on AOA optimized SVM

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2024, 44(S2): 343-347,354 https://doi.org/10.16606/j.cnki.issn0253-4320.2024.S2.060

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(2312 KB)

Accesses

Citation

Detail
Sections
Recommended
京ICP备09035943号-37
Copyright © Modern Chemical Industry, All Rights Reserved.
Tel: 010-64444090　E-mail: mci@cncic.cn
Powered by Beijing Magtech Co., Ltd.

/

〈 〉