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A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

IEEE transactions on industrial electronics (1982), 2014-11, Vol.61 (11), p.6418-6428

2014

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IEEE_Xplore

Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

1, 2022

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A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches

IEEE transactions on industrial electronics (1982), 2015-06, Vol.62 (6), p.3768-3774

2015

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IEEE_Xplore

A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

IEEE transactions on industrial electronics (1982), 2015-06, Vol.62 (6), p.3757-3767

2015

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IEEE_Xplore

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

IEEE transactions on industrial electronics (1982), 2016-05, Vol.63 (5), p.3137-3147

2016

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IEEE_Xplore

Real-time fault diagnosis and fault-tolerant control

IEEE transactions on industrial electronics (1982), 2015-06, Vol.62 (6), p.3752-3756

2015

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IEEE_Xplore

Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems

IEEE transactions on control systems technology, 2019-11, Vol.27 (6), p.2766-2773

2019

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IEEE_Xplore

A survey on model-based fault diagnosis for linear discrete time-varying systems

Neurocomputing (Amsterdam), 2018-09, Vol.306, p.51-60

2018

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Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6015-6028

2023

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IEEE_Xplore

A Review on Recent Development of Spacecraft Attitude Fault Tolerant Control System

IEEE transactions on industrial electronics (1982), 2016-05, Vol.63 (5), p.3311-3320

2016

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IEEE_Xplore

A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill

IEEE transactions on industrial informatics, 2013-11, Vol.9 (4), p.2239-2247

2013

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IEEE_Xplore

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

Journal of process control, 2012-10, Vol.22 (9), p.1567-1581

2012

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Fault Detection for Linear Discrete Time-Varying Systems With Multiplicative Noise: The Finite-Horizon Case

IEEE transactions on circuits and systems. I, Regular papers, 2018-10, Vol.65 (10), p.3492-3505

2018

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IEEE_Xplore

Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis

Knowledge-based systems, 2022-03, Vol.240, p.108149, Article 108149

2022

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Diagnosis and Prognosis for Complicated Industrial Systems-Part I

IEEE transactions on industrial electronics (1982), 2016-04, Vol.63 (4), p.2501-2505

2016

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IEEE_Xplore

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes

IEEE transactions on industrial informatics, 2024-02, Vol.20 (2), p.1987-1996

2024

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IEEE_Xplore

Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes

IEEE transaction on neural networks and learning systems, 2023-10, Vol.PP, p.1-14

2023

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IEEE_Xplore

Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring

IEEE transactions on industrial electronics (1982), 2016-10, Vol.63 (10), p.6316-6324

2016

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IEEE_Xplore

Bearing Fault Diagnosis With Incomplete Training Data: Fault Data With Partial Diameters

IEEE transactions on automation science and engineering, 2023-07, p.1-13

2023

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IEEE_Xplore

A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements

IEEE transactions on industrial electronics (1982), 2015-06, Vol.62 (6), p.3843-3851

2015

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IEEE_Xplore

Diagnosis and Prognosis for Complicated Industrial Systems-Part II

IEEE transactions on industrial electronics (1982), 2016-05, Vol.63 (5), p.3201-3204

2016

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IEEE_Xplore

Robust Asymptotic Fault Estimation of Discrete-Time Interconnected Systems With Sensor Faults

IEEE transactions on cybernetics, 2022-03, Vol.52 (3), p.1691-1700

2022

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IEEE_Xplore

Fault Identifiability Analysis of Linear Discrete Time-Varying Systems

IEEE transactions on circuits and systems. I, Regular papers, 2019-06, Vol.66 (6), p.2371-2381

2019

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IEEE_Xplore

Observer-based fault detection for uncertain nonlinear systems

Journal of the Franklin Institute, 2018-02, Vol.355 (3), p.1278-1295

2018

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Kernel classifier with adaptive structure and fixed memory for process diagnosis

AIChE journal, 2006-10, Vol.52 (10), p.3515-3531

2006

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A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches

A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

Real-time fault diagnosis and fault-tolerant control

Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems

A survey on model-based fault diagnosis for linear discrete time-varying systems

Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes

A Review on Recent Development of Spacecraft Attitude Fault Tolerant Control System

A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

Fault Detection for Linear Discrete Time-Varying Systems With Multiplicative Noise: The Finite-Horizon Case

Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis

Diagnosis and Prognosis for Complicated Industrial Systems-Part I

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes

Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes

Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring

Bearing Fault Diagnosis With Incomplete Training Data: Fault Data With Partial Diameters

A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements

Diagnosis and Prognosis for Complicated Industrial Systems-Part II

Robust Asymptotic Fault Estimation of Discrete-Time Interconnected Systems With Sensor Faults

Fault Identifiability Analysis of Linear Discrete Time-Varying Systems

Observer-based fault detection for uncertain nonlinear systems

Kernel classifier with adaptive structure and fixed memory for process diagnosis

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