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Statistical Process Monitoring Based on Ensemble Structure Analysis
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作者 Likang Shi chudong tong +1 位作者 Ting Lan Xuhua Shi 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第8期1889-1891,共3页
Dear Editor,This letter presents a novel process monitoring model based on ensemble structure analysis(ESA).The ESA model takes advantage of principal component analysis(PCA),locality preserving projections(LPP),and m... Dear Editor,This letter presents a novel process monitoring model based on ensemble structure analysis(ESA).The ESA model takes advantage of principal component analysis(PCA),locality preserving projections(LPP),and multi-manifold projections(MMP)models,and then combines the multiple solutions within an ensemble result through Bayesian inference.In the developed ESA model,different structure features of the given dataset are taken into account simultaneously,the suitability and reliability of the ESA-based monitoring model are then illustrated through comparison.Introduction:The requirement for ensuring safe operation and improving process efficiency has led to increased research activity in the field of process monitoring. 展开更多
关键词 ENSEMBLE PRESERVING LETTER
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