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Detecting abnormal situations using the Kullback–Leibler divergence

Automatica (Oxford), 2014-11, Vol.50 (11), p.2777-2786

2014

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Adherent Peanut Image Segmentation Based on Multi-Modal Fusion

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4434

2024

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Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information

IEEE transactions on control systems technology, 2014-01, Vol.22 (1), p.360-368

2014

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Shrinking Principal Component Analysis for Enhanced Process Monitoring and Fault Isolation

Industrial & engineering chemistry research, 2013-12, Vol.52 (49), p.17475-17486

2013

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Double Layer Distributed Process Monitoring Based on Hierarchical Multi-Block Decomposition

IEEE access, 2019, Vol.7, p.17337-17346

2019

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Fault Detection and Identification of Blast Furnace Ironmaking Process Using the Gated Recurrent Unit Network

Processes, 2020-04, Vol.8 (4), p.391

2020

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Electroplating Deposition of Bismuth Absorbers for X-ray Superconducting Transition Edge Sensors

Materials, 2021-11, Vol.14 (23), p.7169

2021

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Identification of Extreme Temperature Fluctuation in Blast Furnace Based on Fractal Time Series Analysis

Tehnički vjesnik, 2019-08, Vol.26 (4), p.1098-1103

2019

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Failure Mode Analysis of Carbon Fiber Composite Laminates by Acoustic Emission Signals

Advances in materials science and engineering, 2021, Vol.2021 (1)

2021

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Identification of multiscale nature and multiple dynamics of the blast furnace system from operating data

AIChE journal, 2011-12, Vol.57 (12), p.3448-3458

2011

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A State Space Model for Monitoring of the Dynamic Blast Furnace System

ISIJ International, 2012, Vol.52(12), pp.2194-2199

2012

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A Kernel Sparse Representation Based Framework for Monitoring Nonlinear Multi-Mode Process

Journal of chemical engineering of Japan, 2017, Vol.50 (9), p.737-747

2017

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Identification of the Optimal Control Center for Blast Furnace Thermal State Based on the Fuzzy C-means Clustering

ISIJ International, 2011, Vol.51(10), pp.1668-1673

2011

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Application of Least Squares Support Vector Machines to Predict the Silicon Content in Blast Furnace Hot Metal

ISIJ International, 2008/11/15, Vol.48(11), pp.1659-1661

2008

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Blast Furnace System Modeling by Multivariate Phase Space Reconstruction and Neural Networks

Asian journal of control, 2013-03, Vol.15 (2), p.553-561

2013

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A chaos-based iterated multistep predictor for blast furnace ironmaking process

AIChE journal, 2009-04, Vol.55 (4), p.947-962

2009

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Structured Principal Component Analysis Model With Variable Correlation Constraint

IEEE transactions on control systems technology, 2022-03, Vol.30 (2), p.558-569

2022

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Bearing fault diagnosis based on online symbolic aggregation approximation and streaming deep discriminant analysis

Measurement science & technology, 2024-06, Vol.35 (6), p.66109

2024

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Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation

IEEE transactions on industrial informatics, 2019-05, Vol.15 (5), p.2721-2731

2019

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Streaming variational probabilistic principal component analysis for monitoring of nonstationary process

Journal of process control, 2024-01, Vol.133, p.103134, Article 103134

2024

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A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis

IEEE transactions on industrial informatics, 2020-10, Vol.16 (10), p.6291-6300

2020

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Isolation of Overtemperature Fault in an Industrial Boiler Using Tree-Structured Sparsity-Based Reconstruction

Industrial & engineering chemistry research, 2022-05, Vol.61 (19), p.6575-6586

2022

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Structured discriminative Gaussian graph learning for multimode process monitoring

Journal of chemometrics, 2024-03, Vol.38 (3), p.n/a

2024

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Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation

IEEE transactions on industrial informatics, 2023-05, Vol.19 (5), p.7032-7043

2023

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Quality-Related Locally Weighted Non-Gaussian Regression Based Soft Sensing for Multimode Processes

Industrial & engineering chemistry research, 2018-12, Vol.57 (51), p.17452-17461

2018

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Detecting abnormal situations using the Kullback–Leibler divergence

Adherent Peanut Image Segmentation Based on Multi-Modal Fusion

Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information

Shrinking Principal Component Analysis for Enhanced Process Monitoring and Fault Isolation

Double Layer Distributed Process Monitoring Based on Hierarchical Multi-Block Decomposition

Fault Detection and Identification of Blast Furnace Ironmaking Process Using the Gated Recurrent Unit Network

Electroplating Deposition of Bismuth Absorbers for X-ray Superconducting Transition Edge Sensors

Identification of Extreme Temperature Fluctuation in Blast Furnace Based on Fractal Time Series Analysis

Failure Mode Analysis of Carbon Fiber Composite Laminates by Acoustic Emission Signals

Identification of multiscale nature and multiple dynamics of the blast furnace system from operating data

A State Space Model for Monitoring of the Dynamic Blast Furnace System

A Kernel Sparse Representation Based Framework for Monitoring Nonlinear Multi-Mode Process

Identification of the Optimal Control Center for Blast Furnace Thermal State Based on the Fuzzy C-means Clustering

Application of Least Squares Support Vector Machines to Predict the Silicon Content in Blast Furnace Hot Metal

Blast Furnace System Modeling by Multivariate Phase Space Reconstruction and Neural Networks

A chaos-based iterated multistep predictor for blast furnace ironmaking process

Structured Principal Component Analysis Model With Variable Correlation Constraint

Bearing fault diagnosis based on online symbolic aggregation approximation and streaming deep discriminant analysis

Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation

Streaming variational probabilistic principal component analysis for monitoring of nonstationary process

A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis

Isolation of Overtemperature Fault in an Industrial Boiler Using Tree-Structured Sparsity-Based Reconstruction

Structured discriminative Gaussian graph learning for multimode process monitoring

Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation

Quality-Related Locally Weighted Non-Gaussian Regression Based Soft Sensing for Multimode Processes

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