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A model‐based failure times identification for a system governed by a 2D parabolic partial differential equation

IET control theory & applications, 2024-06, Vol.18 (9), p.1163-1175

2024

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Model-based fault detection and diagnosis of complex chemical processes: A case study of the Tennessee Eastman process

Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2018-07, Vol.232 (6), p.742-760

2018

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Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

Annual Reviews in Control, 2016, Vol.42, p.63-81

2016

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Implementation of Non-Destructive Evaluation and Process Monitoring in DLP-based Additive Manufacturing

Open Engineering (Warsaw), 2017-04, Vol.7 (1), p.100-105

2017

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Bayesian filter for failure times identification of moving heat sources in 2D geometry

International journal of systems science, 2024-03, Vol.55 (4), p.671-686

2024

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A generic framework for decision fusion in Fault Detection and Diagnosis

Engineering applications of artificial intelligence, 2018-05, Vol.71, p.73-86

2018

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Fault detection and identification with a new feature selection based on mutual information

Journal of process control, 2008-06, Vol.18 (5), p.479-490

2008

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

Journal of process control, 2010-09, Vol.20 (8), p.902-911

2010

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Quasi-online failure times identification of mobile heat sources in 2D geometry

Journal of process control, 2024-04, Vol.136, p.103183, Article 103183

2024

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A single Bayesian network classifier for monitoring with unknown classes

Engineering applications of artificial intelligence, 2019-10, Vol.85, p.681-690

2019

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Fault detection with Conditional Gaussian Network

Engineering applications of artificial intelligence, 2015-10, Vol.45, p.473-481

2015

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A decision fusion based methodology for fault Prognostic and Health Management of complex systems

Applied soft computing, 2019-10, Vol.83, p.105622, Article 105622

2019

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A Bayesian network dealing with measurements and residuals for system monitoring

Transactions of the Institute of Measurement and Control, 2016-04, Vol.38 (4), p.373-384

2016

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Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion

Engineering applications of artificial intelligence, 2010-10, Vol.23 (7), p.1229-1235

2010

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Model-based approach for fault diagnosis using set-membership formulation

Engineering applications of artificial intelligence, 2016-10, Vol.55, p.307-319

2016

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Galenic Lab-on-a-Chip concept for lipid nanocapsules production

Nanoscale, 2021-07, Vol.13 (27), p.11899-11912

2021

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Correction: Galenic lab-on-a-chip concept for lipid nanocapsules production

Nanoscale, 2021-09, Vol.13 (34), p.14572-14572

2021

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Identification of failure times for a system governed by a non-linear parabolic partial differential equation

IFAC-PapersOnLine, 2022, Vol.55 (40), p.37-42

2022

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Identification of failure times for a system governed by a non-linear parabolic partial differential equation

IFAC-PapersOnLine, 2022, Vol.55 (40), p.37-42

2022

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On the quality of acoustical measures when evaluating fruits quality

International journal of metrology and quality engineering, 2015, Vol.6 (2), p.201

2015

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A new Signal Processing-based Prognostic Approach applied to Turbofan Engines

2020 International Conference on Control, Automation and Diagnosis (ICCAD), 2020, p.1-6

2020

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A New Multi-Objective Decision-Making Approach Applied to the Tennessee Eastman Process

IFAC-PapersOnLine, 2018, Vol.51 (24), p.1212-1219

2018

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Kalman smoother for detection of heat sources defects

2022 International Conference on Control, Automation and Diagnosis (ICCAD), 2022, p.1-6

2022

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Fault detection and diagnosis in a bayesian network classifier incorporating probabilistic boundary1

IFAC-PapersOnLine, 2015

2015

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Fault Detection and Diagnosis in a Bayesian Network classifier incorporating probabilistic boundary 1

IFAC-PapersOnLine, 2015, Vol.48 (21), p.670-675

2015

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A model‐based failure times identification for a system governed by a 2D parabolic partial differential equation

Model-based fault detection and diagnosis of complex chemical processes: A case study of the Tennessee Eastman process

Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges

Implementation of Non-Destructive Evaluation and Process Monitoring in DLP-based Additive Manufacturing

Bayesian filter for failure times identification of moving heat sources in 2D geometry

A generic framework for decision fusion in Fault Detection and Diagnosis

Fault detection and identification with a new feature selection based on mutual information

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

Quasi-online failure times identification of mobile heat sources in 2D geometry

A single Bayesian network classifier for monitoring with unknown classes

Fault detection with Conditional Gaussian Network

A decision fusion based methodology for fault Prognostic and Health Management of complex systems

A Bayesian network dealing with measurements and residuals for system monitoring

Fault diagnosis of industrial systems by conditional Gaussian network including a distance rejection criterion

Model-based approach for fault diagnosis using set-membership formulation

Galenic Lab-on-a-Chip concept for lipid nanocapsules production

Correction: Galenic lab-on-a-chip concept for lipid nanocapsules production

Identification of failure times for a system governed by a non-linear parabolic partial differential equation

Identification of failure times for a system governed by a non-linear parabolic partial differential equation

On the quality of acoustical measures when evaluating fruits quality

A new Signal Processing-based Prognostic Approach applied to Turbofan Engines

A New Multi-Objective Decision-Making Approach Applied to the Tennessee Eastman Process

Kalman smoother for detection of heat sources defects

Fault detection and diagnosis in a bayesian network classifier incorporating probabilistic boundary1

Fault Detection and Diagnosis in a Bayesian Network classifier incorporating probabilistic boundary 1

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