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        A nonlinear method for monitoring industrial processAiming at fault detection in industrial processes with nonlinear or high dimensions, a novel method based on locally linear embedding preserve ne...
        A Novel Fault Detection Scheme Based on Difference in Independent Component for Reliable Process Monitoring: Application on the Semiconductor Manufacturing Processes  Compared with principal compon...
                   Local component based PCA model for Multimode Process Monitoring.For plant-wide processes with multiple operating conditions, the multimode feature imposes some challenges to conventiona...
          针对具有非线性和多模态特征过程的故障检测问题, 本文提出一种基于k 近邻主元得分差分的故障检测 策略. 首先,通过主元分析(Principal component analysis, PCA) 方法计算样本的真实得分. 然后, 应用样本的k 近...
        层次变分高斯混合模型与主多项式分析的故障检测策略摘要：针对多模态工业过程中模态数量难以确定问题，提出一种层次变分高斯混合模型(Hierarchical Variational Gaussian mixture model, HVGMM)。在此基础上，使...

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