Fault detection and diagnosis using Bayesian network model combining mechanism correlation analysis and process data: Application to unmonitored root cause variables type faults

Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes

(2022) Zhenyu Deng et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Anomaly detection using improved deep SVDD model with data structure preservation

(2021) Zheng Zhang et al.   PATTERN RECOGNITION LETTERS

Fuzzy Bayesian network based on an improved similarity aggregation method for risk assessment of storage tank accident

(2021) Xiaoxue Guo 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

Process topology convolutional network model for chemical process fault diagnosis

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

Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula

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

A data-driven corrosion prediction model to support digitization of subsea operations

(2021) Xinhong Li 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

Dynamic risk modeling of complex hydrocarbon production systems

(2021) Abbas Mamudu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A deep learning model for process fault prognosis

(2021) Rajeevan Arunthavanathan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification

(2021) Xiaotian Bi et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A multi-scale convolutional neural network based fault diagnosis model for complex chemical processes

(2021) Qiusheng Song et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Incipient fault detection for nonlinear processes based on dynamic multi-block probability related kernel principal component analysis

(2020) Peipei Cai et al.   ISA TRANSACTIONS

Improved process monitoring using the CUSUM and EWMA-based multiscale PCA fault detection framework

(2020) Muhammad Nawaz et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Monitoring of wastewater treatment processes using dynamic concurrent kernel partial least squares

(2020) Hongbin Liu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Operational risk analysis of blowout scenario in offshore drilling operation

(2020) Kun Chen et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Sparse Robust Principal Component Analysis with Applications to Fault Detection and Diagnosis

(2019) Lijia Luo et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Process system fault detection and diagnosis using a hybrid technique

(2018) Md. Tanjin Amin et al.   CHEMICAL ENGINEERING SCIENCE

Nonlinear and Non-Gaussian Process Monitoring Based on Simplified R-Vine Copula

(2018) Nan Zhou et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Fault Detection and Classification for Nonlinear Chemical Processes using Lasso and Gaussian Process

(2018) Yuncheng Du et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Data mining and clustering in chemical process databases for monitoring and knowledge discovery

(2018) Michael C. Thomas et al.   JOURNAL OF PROCESS CONTROL

Modeling and application of industrial process fault detection based on pruning vine copula

(2018) Junxia Wan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fault detection and pathway analysis using a dynamic Bayesian network

(2018) Md. Tanjin Amin et al.   CHEMICAL ENGINEERING SCIENCE

Fault Detection and Diagnosis for Nonlinear and Non-Gaussian Processes Based on Copula Subspace Division

(2017) Xiang Ren et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network

(2017) H. Gharahbagheri et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Adaptive sparse principal component analysis for enhanced process monitoring and fault isolation

(2015) Kangling Liu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Discriminant-Analysis-Based Single-Phase Earth Fault Protection Using Improved PCA in Distribution Systems

(2015) Yuanyuan Wang et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A novel dynamic bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis

(2013) Jie Yu et al.   AICHE JOURNAL

Lower bounds on mutual information

(2011) David V. Foster et al.   PHYSICAL REVIEW E