Real-Time Industrial Process Fault Diagnosis Based on Time Delayed Mutual Information Analysis

Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis

(2019) Qun-Xiong Zhu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Process Fault Diagnosis via the Integrated Use of Graphical Lasso and Markov Random Fields Learning &Inference

(2019) Changsoo Kim et al.   COMPUTERS & CHEMICAL ENGINEERING

Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes

(2017) Qun-Xiong Zhu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis

(2017) Marco Reis et al.   Processes

Fault Detection and Diagnosis Based on Sparse PCA and Two-Level Contribution Plots

(2016) Lijia Luo et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Integrating probabilistic signed digraph and reliability analysis for alarm signal optimization in chemical plant

(2015) Di Peng et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Granger Causality Analysis in Neuroscience and Neuroimaging

(2015) A. K. Seth et al.   JOURNAL OF NEUROSCIENCE

Process fault isolation based on transfer entropy algorithm

(2013) Payman Hajihosseini et al.   ISA TRANSACTIONS

Root cause diagnosis of plant-wide oscillations using Granger causality

(2013) Tao Yuan et al.   JOURNAL OF PROCESS CONTROL

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

Fault detection and isolation of faults in a multivariate process with Bayesian network

(2010) Sylvain Verron et al.   JOURNAL OF PROCESS CONTROL

Granger Causality Analysis of Human Cell-Cycle Gene Expression Profiles

(2010) Radhakrishnan Nagarajan et al.   Statistical Applications in Genetics and Molecular Biology