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Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability

IEEE transactions on industrial electronics (1982), 2020-06, Vol.67 (6), p.5081-5091

2020

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Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net

IEEE transactions on control systems technology, 2020-05, Vol.28 (3), p.1083-1091

2020

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Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

IEEE transactions on industrial electronics (1982), 2018-07, Vol.65 (7), p.5931-5940

2018

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Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification

IEEE transactions on industrial informatics, 2019-06, Vol.15 (6), p.3311-3323

2019

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Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy

IEEE transactions on automation science and engineering, 2019-10, Vol.16 (4), p.1922-1932

2019

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Online Fault Diagnosis in Industrial Processes Using Multimodel Exponential Discriminant Analysis Algorithm

IEEE transactions on control systems technology, 2019-05, Vol.27 (3), p.1317-1325

2019

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Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection With Missing Data

IEEE transactions on industrial informatics, 2021-09, Vol.17 (9), p.6337-6346

2021

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MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes

IEEE transactions on cybernetics, 2022-08, Vol.52 (8), p.8340-8351

2022

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Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring

IEEE transactions on control systems technology, 2021-01, Vol.29 (1), p.444-453

2021

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A Robust Dissimilarity Distribution Analytics with Laplace Distribution for Incipient Fault Detection

IEEE transactions on industrial electronics (1982), 2023-12, Vol.70 (12), p.1-10

2023

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Intrinsic Causality Embedded Concurrent Quality and Process Monitoring Strategy

IEEE transactions on industrial electronics (1982), 2024-11, Vol.71 (11), p.15111-15121

2024

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An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty

IEEE transactions on control systems technology, 2024-05, Vol.32 (3), p.767-779

2024

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Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples

IEEE transactions on industrial electronics (1982), 2023-11, Vol.70 (11), p.11774-11783

2023

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Statistics Pattern Cointegration Analysis Based Bit Bounce Detection for Drilling Process

IEEE transactions on industrial electronics (1982), 2024-02, Vol.71 (2), p.1-10

2024

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Early Warning of Loss and Kick for Drilling Process Based on Sparse Autoencoder with Multivariate Time Series

IEEE transactions on industrial informatics, 2023-11, Vol.19 (11), p.1-11

2023

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Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process

IEEE transactions on industrial informatics, 2024-02, Vol.20 (2), p.2017-2028

2024

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Distributed Monitoring with Integrated Probability PCA and mRMR for Drilling Processes

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-1

2022

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Bit Bounce Detection and Alarm Optimization Based on Domain Generalization for Drilling Process

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-11

2022

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Displacement Prediction of Landslide Using SARIMA Model Based on Seasonal Characteristic

2023 42nd Chinese Control Conference (CCC), 2023, p.3296-3300

2023

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Hybrid Norm Pursuit Method for Hyperspectral Image Reconstruction

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-09, Vol.9 (9), p.4492-4500

2016

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Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes

Journal of process control, 2021-11, Vol.107, p.47-57

2021

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Sparse exponential discriminant analysis

2017 36th Chinese Control Conference (CCC), 2017, p.10880-10885

2017

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Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations

Journal of process control, 2020-08, Vol.92, p.319-332

2020

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A generalized probabilistic monitoring model with both random and sequential data

Automatica (Oxford), 2022-10, Vol.144, p.110468, Article 110468

2022

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Meticulous process monitoring with multiscale convolutional feature extraction

Journal of process control, 2021-10, Vol.106, p.20-28

2021

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Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability

Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net

Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification

Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy

Online Fault Diagnosis in Industrial Processes Using Multimodel Exponential Discriminant Analysis Algorithm

Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection With Missing Data

MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes

Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring

A Robust Dissimilarity Distribution Analytics with Laplace Distribution for Incipient Fault Detection

Intrinsic Causality Embedded Concurrent Quality and Process Monitoring Strategy

An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty

Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples

Statistics Pattern Cointegration Analysis Based Bit Bounce Detection for Drilling Process

Early Warning of Loss and Kick for Drilling Process Based on Sparse Autoencoder with Multivariate Time Series

Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process

Distributed Monitoring with Integrated Probability PCA and mRMR for Drilling Processes

Bit Bounce Detection and Alarm Optimization Based on Domain Generalization for Drilling Process

Displacement Prediction of Landslide Using SARIMA Model Based on Seasonal Characteristic

Hybrid Norm Pursuit Method for Hyperspectral Image Reconstruction

Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes

Sparse exponential discriminant analysis

Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations

A generalized probabilistic monitoring model with both random and sequential data

Meticulous process monitoring with multiscale convolutional feature extraction

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