CAJ | 학술논문

复杂化工过程通常具有多个操作模态，而且采集的数据不服从单一的高斯或非高斯分布。针对化工过程的多模态和复杂数据分布问题，将局部标准化（local standardized，LS）策略应用于邻域保持嵌入（neighborhood preserving embedding，NPE）算法，提出了一种新的基于局部标准化邻域保持嵌入（local standardized neighborhood preserving embedding，LSNPE）算法的故障检测方法。首先，使用 LSNPE 算法提取高维数据的低维子流形，进行维数约减，同时保持邻域结构不变。其次，通过特征空间中样本的局部离群因子（local outlier factor，LOF）构造监控统计量并确定其控制限。相较于监控多模态化工过程的多模型策略，提出的 LSNPE 方法不需要过程先验知识的支持，只需建立一个全局的监控模型。最后，通过数值仿真及Tennessee Eastman(TE)过程仿真研究验证了本文提出方法的有效性。
복잡화공과정통상구유다개조작모태，이차채집적수거불복종단일적고사혹비고사분포。침대화공과정적다모태화복잡수거분포문제，장국부표준화（local standardized，LS）책략응용우린역보지감입（neighborhood preserving embedding，NPE）산법，제출료일충신적기우국부표준화린역보지감입（local standardized neighborhood preserving embedding，LSNPE）산법적고장검측방법。수선，사용 LSNPE 산법제취고유수거적저유자류형，진행유수약감，동시보지린역결구불변。기차，통과특정공간중양본적국부리군인자（local outlier factor，LOF）구조감공통계량병학정기공제한。상교우감공다모태화공과정적다모형책략，제출적 LSNPE 방법불수요과정선험지식적지지，지수건립일개전국적감공모형。최후，통과수치방진급Tennessee Eastman(TE)과정방진연구험증료본문제출방법적유효성。
Complex chemical processes often have multiple operating modes and the within-mode process data do not follow Gaussian or non-Gaussian distributions. To handle the problem of multiple operating modes and complex data distribution, a novel fault detection method, local standardized neighborhood preserving embedding (LSNPE) was proposed by applying local standardization (LS) strategy to the neighborhood preserving embedding (NPE) algorithm. Firstly, LSNPE algorithm was performed for dimensionality reduction and thus the main features of the collected data were extracted. At the same time, it could keep the neighborhood structure unchanged. Next, a monitoring statistics was established using the local outlier factor (LOF) of each sample in feature space and its control limit was determined. Instead of building multiple monitoring models for complex chemical process with different operating modes, the proposed LSNPE method built only one global model to monitor a multi-mode process without the support of any prior process knowledge. Finally, the feasibility and efficiency of the proposed method were illustrated through a numerical example and the Tennessee Eastman process.