M. Harkat

发表

Diagnosis and Detection of Short-Circuit in a Three-Phase Induction Machine

Youcef Soufi, Tahar Bahi, H. Merabet, 2009, 2009 Second International Conference on Computer and Electrical Engineering.

Speech Enhancement Using PCA and Variance of the Reconstruction Error Model Identiﬁcation

Amin Haji Abolhassani, D. O'Shaughnessy, S. Selouani, 2021 .

A new monitoring scheme of an air quality network based on the kernel method

Khaoula Ben Abdellafou, O. Taouali, M. Harkat, 2019, The International Journal of Advanced Manufacturing Technology.

Supervised process monitoring and fault diagnosis based on machine learning methods

Khaoula Ben Abdellafou, O. Taouali, M. Harkat, 2019, The International Journal of Advanced Manufacturing Technology.

Kernel principal component analysis with reduced complexity for nonlinear dynamic process monitoring

H. Messaoud, O. Taouali, M. Harkat, 2016, The International Journal of Advanced Manufacturing Technology.

New fault detection method based on reduced kernel principal component analysis (RKPCA)

H. Messaoud, O. Taouali, M. Harkat, 2015, The International Journal of Advanced Manufacturing Technology.

Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test

Hazem N. Nounou, Mohamed N. Nounou, Majdi Mansouri, 2019, Inf. Sci..

Kernel Generalized Likelihood Ratio Test for Fault Detection of Biological Systems

Hazem Nounou, Ahmed Ben Hamida, Majdi Mansouri, 2018, IEEE Transactions on NanoBioscience.

Model‐based and data‐driven with multiscale sum of squares double EWMA control chart for fault detection in biological systems

Hazem Nounou, Majdi Mansouri, Mohamed Nounou, 2018, Journal of Chemometrics.

Enhanced data validation strategy of air quality monitoring network

Hazem Nounou, Majdi Mansouri, Mohamed Nounou, 2018, Environmental research.

PCA and PLS-based generalized likelihood ratio for fault detection

M. Nounou, M. Mansouri, H. Nounou, 2020 .

Fault detection of chemical processes using improved generalized likelihood ratio test

Hazem N. Nounou, Mohamed N. Nounou, Majdi Mansouri, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

A new monitoring scheme of an air quality network based on the kernel method

Khaoula Ben Abdellafou, Okba Taouali, Mohamed-Faouzi Harkat, 2019, The International Journal of Advanced Manufacturing Technology.

A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation

Hazem Nounou, Majdi Mansouri, Mohamed Nounou, 2020, IEEE Sensors Journal.

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

Mohamed N. Nounou, Hazem Nounou, Majdi Mansouri, 2020, IEEE Access.

Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA

Majdi Mansouri, Mohamed Faouzi Harkat, Radhia Fezai, 2018, 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD).

Enhanced fault detection of an air quality monitoring network

Hazem Nounou, Majdi Mansouri, Mohamed Faouzi Harkat, 2017, 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS).

Online process monitoring based on kernel method

Mohamed Faouzi Harkat, Radhia Fezai, Okba Taouali, 2017, 2017 International Conference on Control, Automation and Diagnosis (ICCAD).

A new fault detection method for nonlinear process monitoring

Okba Taouali, Mohamed-Faouzi Harkat, Radhia Fazai, 2016, The International Journal of Advanced Manufacturing Technology.

Neuronal principal component analysis for nonlinear time-varying processes monitoring

Chouaib Chakour, Messaoud Djeghaba, Mohamed-Faouzi Harkat, 2015 .

Adaptive kernel principal component analysis for nonlinear dynamic process monitoring

Mohamed Faouzi Harkat, Chakour Chouaib, Djeghaba Messaoud, 2013, 2013 9th Asian Control Conference (ASCC).

Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring.

Hassani Messaoud, Mohamed Faouzi Harkat, Okba Taouali, 2016, ISA transactions.

Midpoint-radii principal component analysis -based EWMA and application to air quality monitoring network

Hazem Nounou, Majdi Mansouri, Mohamed Nounou, 2018 .

New fault detection method based on reduced kernel principal component analysis (RKPCA)

Hassani Messaoud, Okba Taouali, Mohamed-Faouzi Harkat, 2016 .

Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis

Mohamed Benouaret, Noureddine Doghmane, Mohamed-Faouzi Harkat, 2007, Int. J. Autom. Comput..

Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring

M. Mansouri, A. Kouadri, Kais Bouzrara, 2020, 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD).

Supervised process monitoring and fault diagnosis based on machine learning methods

Khaoula Ben Abdellafou, Okba Taouali, Mohamed-Faouzi Harkat, 2019, The International Journal of Advanced Manufacturing Technology.

Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network

Hazem N. Nounou, Majdi Mansouri, Mohamed Faouzi Harkat, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Fault Detection of the Tennessee Eastman Process using Online Reduced Kernel PCA*

Mohamed N. Nounou, Majdi Mansouri, Mohamed Faouzi Harkat, 2018, 2018 European Control Conference (ECC).

Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method

Hassani Messaoud, Okba Taouali, Mohamed-Faouzi Harkat, 2018, Trans. Inst. Meas. Control.

Kernel principal component analysis with reduced complexity for nonlinear dynamic process monitoring

Hassani Messaoud, Okba Taouali, Mohamed-Faouzi Harkat, 2017 .

Sensor Fault Detection and Isolation Based on Variable Moving Window KPCA

Majdi Mansouri, Radhia Fezai, Okba Taouali, 2020, Studies in Systems, Decision and Control.

Kernel PCA- and Kernel PLS-based generalized likelihood ratio tests for fault detection

M. Nounou, M. Mansouri, H. Nounou, 2020 .

Linear and nonlinear interval latent variable approaches for fault detection

Mohamed N. Nounou, Hazem Nounou, Majdi Mansouri, 2020 .

Online reduced kernel principal component analysis for process monitoring

Majdi Mansouri, Radhia Fezai, Okba Taouali, 2018 .

Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC

Hassani Messaoud, Mohamed Faouzi Harkat, Radhia Fezai, 2017, 2017 International Conference on Control, Automation and Diagnosis (ICCAD).

A Fault Detection Index Using Principal Component Analysis And Mahalanobis Distance

Hassani Messaoud, Okba Taouali, Ines Jaffel, 2015 .

Fault Diagnosis Methods for Three Phase PWM Inverter Fed Induction Motor

M. Mohammedi, Mohamed-Faouzi Harkat, Youcef Soufi, 2018, International Journal on Engineering Applications (IREA).

Machine learning approaches for fault detection and diagnosis of induction motors

M. Nounou, M. Mansouri, H. Nounou, 2020, 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD).

Efficient fault detection and diagnosis of wind energy converter systems

M. Nounou, M. Mansouri, H. Nounou, 2020, 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD).

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS

Hazem Nounou, Hassani Messaoud, Majdi Mansouri, 2020, IEEE Access.

Uncertain Dynamic Process Monitoring Using Moving Window PCA for Interval-Valued Data

Hazem N. Nounou, Mohamed N. Nounou, Frédéric Kratz, 2018, DX.

New sensor fault detection and isolation strategy–based interval‐valued data

Hazem Nounou, Mohamed Nounou, Majdi Mansouri, 2020, Journal of Chemometrics.

Interval-Valued Features Based Machine Learning Technique for Fault Detection and Diagnosis of Uncertain HVAC Systems

Shady S. Refaat, Hassani Messaoud, Majdi Mansouri, 2020, IEEE Access.

Effective monitoring of an air quality network

Hazem N. Nounou, Mohamed N. Nounou, Ahmed Ben Hamida, 2018, 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Model-based approaches for fault detection

Mohamed N. Nounou, Hazem Nounou, Majdi Mansouri, 2020 .

Fault detection of uncertain nonlinear process using interval-valued data-driven approach

Hazem Nounou, Mohamed Nounou, Majdi Mansouri, 2019, Chemical Engineering Science.