机译:使用基于Kullback-Leibler散度的多块主成分分析和贝叶斯推理进行故障检测和识别
Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, P. R. China;
Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, P. R. China;
Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, P. R. China;
Multi-block PCA; Kullback-Leibler Divergence; Bayesian Inference; Plant-wide Process Monitoring;
机译:基于主成分分析的基于Kullback-Leibler散度的早期故障检测与诊断:第二部分
机译:基于主成分分析的基于Kullback-Leibler散度的早期故障检测与诊断:第一部分
机译:基于动态主成分分析,动态独立成分分析和贝叶斯推理的动态过程故障检测与诊断
机译:基于局部邻域标准化的多模块主成分分析的多模式过程故障检测方法
机译:基于主成分分析的故障检测和隔离。
机译:使用主成分分析和空间分析的先祖推理:基于距离的分析来说明人口子结构
机译:基于Kullback-Leibler发散和递归主成分分析的在线初始故障诊断