Fault monitoring using novel adaptive kernel principal component analysis integrating grey relational analysis

Locality preserving randomized canonical correlation analysis for real-time nonlinear process monitoring

(2021) Ping Wu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A data-driven Bayesian network learning method for process fault diagnosis

(2021) Md. Tanjin Amin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring

(2021) Bing Xiao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

An intelligent moving window sparse principal component analysis-based case based reasoning for fault diagnosis: Case of the drilling process

(2021) Yongming Han et al.   ISA TRANSACTIONS

Least Squares Sparse Principal Component Analysis and Parallel Coordinates for Real-time Process Monitoring

(2020) Shriram Gajjar et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

An optimized long short-term memory network based fault diagnosis model for chemical processes

(2020) Yongming Han et al.   JOURNAL OF PROCESS CONTROL

Development of a dynamic quantitative risk assessment methodology using fuzzy DEMATEL-BN and leading indicators

(2020) Omran Ahmadi et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Input-output networks considering graphlet-based analysis for production optimization: Application in ethylene plants

(2020) Zun Wang et al.   JOURNAL OF CLEANER PRODUCTION

Key-Performance-Indicator-Related Process Monitoring Based on Improved Kernel Partial Least Squares

(2020) Yabin Si et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm

(2020) Qishuai Yin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Parameter estimation of fire propagation models using level set methods

(2020) Angelo Alessandri et al.   APPLIED MATHEMATICAL MODELLING

Incipient fault detection for chemical processes using two-dimensional weighted SLKPCA

(2019) Xiaogang Deng et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Online reduced kernel PLS combined with GLRT for fault detection in chemical systems

(2019) R. Fazai et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

All-Electric Ship-Integrated Power Systems: Dependable Design Based on Fault Tree Analysis and Dynamic Modeling

(2019) A. Vicenzutti et al.   IEEE Transactions on Transportation Electrification

Process Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables

(2019) Arko Ghosh et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A Modified Moving Window dynamic PCA with Fuzzy Logic Filter and application to fault detection

(2018) Mustapha Ammiche et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

HSIC-based kernel independent component analysis for fault monitoring

(2018) Lin Feng et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Parallel PCA–KPCA for nonlinear process monitoring

(2018) Qingchao Jiang et al.   CONTROL ENGINEERING PRACTICE

Hybrid independent component analysis (H-ICA) with simultaneous analysis of high-order and second-order statistics for industrial process monitoring

(2018) Shumei Zhang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Kernel PLS-based GLRT method for fault detection of chemical processes

(2016) Chiranjivi Botre et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Nonlinear Gaussian Belief Network based fault diagnosis for industrial processes

(2015) Hongyang Yu et al.   JOURNAL OF PROCESS CONTROL

Nonlinear and Constrained State Estimation Based on the Cubature Kalman Filter

(2014) Jafar Zarei et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Sampling Systems With Fractional Delay and PCA Applied to High-Accuracy Measurements

(2013) Renata T. de Barros e Vasconcellos et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Fault Detection and Diagnosis in Chemical Processes Using Sensitive Principal Component Analysis

(2013) Qingchao Jiang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models

(2013) John Harlim et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Hierarchical Fault Diagnosis for Power Systems Based on Equivalent-Input-Disturbance Approach

(2012) Bo Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis

(2010) Jong-Min Lee et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Moving window kernel PCA for adaptive monitoring of nonlinear processes

(2009) Xueqin Liu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS