沈阳大学学报（自然科学版）2024，Vol.36Issue(2)：132-140,9.
基于得分差分MMP的多模态过程故障检测
Fault Detection of Multimodal Process Based on Score Difference MMP
摘要
Abstract
A fault detection algorithm of multimodal process based on score difference multi-manifold projections(SDMMP)was proposed for the multimodal problem in industrial process.Firstly,the multi-manifold projections(MMP)algorithm was used to construct a unified global graph and a local graph to calculate the score of the original samples.Secondly,the k-nearest neighbor method was used to calculate the mean vector of neighbor samples.The estimated score of the samples were calculated.The score difference matrix and residual matrix were calculated by the estimated score.Third,the new SPE and T2 monitoring indexes were established to monitor the changes of score difference subspace and residual subspace,and the control limit was calculated by kernel density estimation(KDE).Finally,the new statistics were compared with the control limit for fault detection.The SDMMP algorithm was applied to a numerical example and the Tennessee Eastman process for monitoring and diagnosis.Simulation results showed that,the SDMMP algorithm had obvious advantages in fault detection of industrial process with multimodal characteristics compared with principal component analysis(PCA),locality preserving projections(LPP)and MMP.关键词
多模态过程/故障检测/k近邻/得分差分/多流形投影Key words
multimodal process/fault detection/k-nearest neighbor/score difference/multi-manifold projections分类
信息技术与安全科学引用本文复制引用
郭金玉,郭佳燕,李元..基于得分差分MMP的多模态过程故障检测[J].沈阳大学学报（自然科学版）,2024,36(2):132-140,9.基金项目
国家自然科学基金资助项目(62273242) （62273242）
辽宁省教育厅科学研究项目(LJ2019007). （LJ2019007）
