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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

1, 2020

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A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

IEEE access, 2020, Vol.8, p.219672-219679

2020

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PLS-based EWMA fault detection strategy for process monitoring

Journal of loss prevention in the process industries, 2015-07, Vol.36, p.108-119

2015

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Statistical fault detection using PCA-based GLR hypothesis testing

Journal of loss prevention in the process industries, 2013-01, Vol.26 (1), p.129-139

2013

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A measurement-based control design approach for efficient cancer chemotherapy

Information sciences, 2016-03, Vol.333, p.108-125

2016

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A Control Design Approach for TITO Systems Using Measured Data

Journal of dynamic systems, measurement, and control, 2019-01, Vol.141 (1)

2019

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Integrated Multiscale Latent Variable Regression and Application to Distillation Columns

Modelling and Simulation in Engineering, 2013-01, Vol.2013 (2013), p.182-198

2013

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State and parameter estimation for nonlinear biological phenomena modeled by S-systems

Digital signal processing, 2014-05, Vol.28, p.1-17

2014

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A nonparametric approach to design robust controllers for uncertain systems: Application to an air flow heating system

Journal of process control, 2015-12, Vol.36, p.1-10

2015

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Reduced Noise Effect in Nonlinear Model Estimation Using Multiscale Representation

Modelling and Simulation in Engineering, 2010-01, Vol.2010 (1), p.2-9

2010

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Multiscale Latent Variable Regression

International Journal of Chemical Engineering, 2010-01, Vol.2010 (2010), p.335-342

2010

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Modeling of nonlinear biological phenomena modeled by S-systems

Mathematical biosciences, 2014-03, Vol.249, p.75-91

2014

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A Measurement-Based Approach for Designing Fixed-Order Controllers for Unknown Closed-Loop Architecture

Asian journal of control, 2016-03, Vol.18 (2), p.686-698

2016

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Adaptive Controller Design for Unknown Systems Using Measured Data

Asian journal of control, 2016-07, Vol.18 (4), p.1453-1466

2016

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Bayesian methods for time-varying state and parameter estimation in induction machines

International journal of adaptive control and signal processing, 2015-07, Vol.29 (7), p.905-924

2015

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A data-based technique for monitoring of wound rotor induction machines: A simulation study

Engineering science and technology, an international journal, 2016-09, Vol.19 (3), p.1424-1435

2016

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Fuzzy Intervention in Biological Phenomena

IEEE/ACM transactions on computational biology and bioinformatics, 2012-11, Vol.9 (6), p.1819-1825

2012

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A Measurement-Based Approach for Speed Control of Induction Machines

IEEE journal of emerging and selected topics in power electronics, 2014-06, Vol.2 (2), p.308-318

2014

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Dealing with Collinearity in Finite Impulse Response Models Using Bayesian Shrinkage

Industrial & engineering chemistry research, 2006-01, Vol.45 (1), p.292-298

Nounou, Mohamed N

2006

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On-line multiscale filtering of random and gross errors without process models

AIChE journal, 1999-05, Vol.45 (5), p.1041-1058

1999

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Improved Estimation of the Langmuir Adsorption Isotherm Using Multiscale Filtering

Separation science and technology, 2009-07, Vol.44 (11), p.2510-2525

2009

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An operating economics-driven perspective on monitoring and maintenance in multiple operating regimes: Application to monitor fouling in heat exchangers

Chemical engineering research & design, 2022-08, Vol.184, p.233-245

2022

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Linear Inferential Modeling: Theoretical Perspectives, Extensions, and Comparative Analysis

Intelligent control and automation, 2012-11, Vol.3 (4), p.376-389

2012

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Analysis and synthesis of uncertain switched discrete-time systems

IMA journal of mathematical control and information, 2007-06, Vol.24 (2), p.245-257

2007

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Monitoring linear antenna arrays using an exponentially weighted moving average-based fault detection scheme

Systems science & control engineering, 2014-12, Vol.2 (1), p.433-443

2014

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

PLS-based EWMA fault detection strategy for process monitoring

Statistical fault detection using PCA-based GLR hypothesis testing

A measurement-based control design approach for efficient cancer chemotherapy

A Control Design Approach for TITO Systems Using Measured Data

Integrated Multiscale Latent Variable Regression and Application to Distillation Columns

State and parameter estimation for nonlinear biological phenomena modeled by S-systems

A nonparametric approach to design robust controllers for uncertain systems: Application to an air flow heating system

Reduced Noise Effect in Nonlinear Model Estimation Using Multiscale Representation

Multiscale Latent Variable Regression

Modeling of nonlinear biological phenomena modeled by S-systems

A Measurement-Based Approach for Designing Fixed-Order Controllers for Unknown Closed-Loop Architecture

Adaptive Controller Design for Unknown Systems Using Measured Data

Bayesian methods for time-varying state and parameter estimation in induction machines

A data-based technique for monitoring of wound rotor induction machines: A simulation study

Fuzzy Intervention in Biological Phenomena

A Measurement-Based Approach for Speed Control of Induction Machines

Dealing with Collinearity in Finite Impulse Response Models Using Bayesian Shrinkage

On-line multiscale filtering of random and gross errors without process models

Improved Estimation of the Langmuir Adsorption Isotherm Using Multiscale Filtering

An operating economics-driven perspective on monitoring and maintenance in multiple operating regimes: Application to monitor fouling in heat exchangers

Linear Inferential Modeling: Theoretical Perspectives, Extensions, and Comparative Analysis

Analysis and synthesis of uncertain switched discrete-time systems

Monitoring linear antenna arrays using an exponentially weighted moving average-based fault detection scheme

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