成果/Result
- Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference被引量：112收藏
- 作者：Huang, Jian Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2015
- 关键词：Process monitoring J-B test Dynamic principal component analysis Dynamic independent component analysis Bayesian Inference
- Related and independent variable fault detection based on KPCA and SVDD被引量：66收藏
- 作者：Huang, Jian Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2016
- 关键词：Independent variables Related variables Process monitoring Kernel principal component analysis Support vector data description
- Gaussian and non-Gaussian Double Subspace Statistical Process Monitoring Based on Principal Component Analysis and Independent Component Analysis被引量：46收藏
- 作者：Huang, Jian Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2015
- 关键词：Bayesian networks - Fault detection - Numerical methods - Data handling - Gaussian noise (electronic) - Principal component analysis - Process monitoring - Statistical process control - Chemical analysis - Gaussian distribution - Inference engines
- Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description被引量：35收藏
- 作者：Huang, Jian Ersoy, Okan K. Yan, Xuefeng
- 机构：East China Univ Sci & Technol;Univ Sci & Technol Beijing;Purdue Univ
- 来源：ISA TRANSACTIONS 2019
- 关键词：Multi-block algorithm Slow feature analysis Support vector data description Fault detection
- Slow feature analysis based on online feature reordering and feature selection for dynamic chemical process monitoring被引量：29收藏
- 作者：Huang, Jian Ersoy, Okan K. Yan, Xuefeng
- 机构：East China Univ Sci & Technol;Purdue Univ
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2017
- 关键词：Slow feature analysis Online feature reordering Process monitoring
- Double-step block division plant-wide fault detection and diagnosis based on variable distributions and relevant features被引量：23收藏
- 作者：Huang, Jian Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：JOURNAL OF CHEMOMETRICS 2015
- 关键词：distribution characteristic relevant feature plant-wide process monitoring PCA ICA
- Angle-Based Multiblock Independent Component Analysis Method with a New Block Dissimilarity Statistic for Non-Gaussian Process Monitoring被引量：22收藏
- 作者：Huang, Jian Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2016
- 关键词：Process monitoring - Data description - Gaussian distribution - Gaussian noise (electronic)
- Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis被引量：8收藏
- 作者：Huang, Jian Yang, Xu Shardt, Yuri A. W. Yan, Xuefeng
- 机构：Univ Sci & Technol Beijing;East China Univ Sci & Technol;Tech Univ Ilmenau
- 来源：IEEE ACCESS 2020
- 关键词：Slow feature analysis relevance vector machine dynamic process fault classification process monitoring statistical learning support vector machine feature extraction process control
- Process monitoring based on entropy weight for a subspace containing probabilistic principal components and fault-relevant noise factors被引量：2收藏
- 作者：Zhu, Tianxian Huang, Jian Yan, Xuefeng
- 机构：East China Univ Sci & Technol
- 来源：JOURNAL OF CHEMOMETRICS 2017
- 关键词：entropy method fault detection moving window weighted probabilistic principal component analysis
