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Mohamed Faouzi Harkat
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Journal Articles
- 2024
- [j10]Mohammed Tahar Habib Kaib, Abdelmalek Kouadri, Mohamed Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri:
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval. IEEE Access 12: 11470-11480 (2024) - [j9]Kamel Zidi, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali, Mohamed Faouzi Harkat:
Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture. Eng. Appl. Artif. Intell. 133: 108579 (2024) - 2023
- [j8]Okba Taouali, Sawcen Bacha, Khaoula Ben Abdellafou, Ahamed Aljuhani, Kamel Zidi, Rehab Alanazi, Mohamed Faouzi Harkat:
Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques. Comput. Syst. Sci. Eng. 47(2): 1593-1609 (2023) - 2021
- [j7]Mansour Hajji, Mohamed Faouzi Harkat, Abdelmalek Kouadri, Kamaleldin Abodayeh, Majdi Mansouri, Hazem N. Nounou, Mohamed N. Nounou:
Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems. Eur. J. Control 59: 313-321 (2021) - 2020
- [j6]Radhia Fezai, Kamaleldin Abodayeh, Majdi Mansouri, Abdelmalek Kouadri, Mohamed Faouzi Harkat, Hazem N. Nounou, Mohamed N. Nounou, Hassani Messaoud:
Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS. IEEE Access 8: 78343-78353 (2020) - [j5]Sondes Gharsellaoui, Majdi Mansouri, Mohamed Trabelsi, Mohamed Faouzi Harkat, Shady S. Refaat, Hassani Messaoud:
Interval-Valued Features Based Machine Learning Technique for Fault Detection and Diagnosis of Uncertain HVAC Systems. IEEE Access 8: 171892-171902 (2020) - [j4]Majdi Mansouri, Radhia Fezai, Mohamed Trabelsi, Mansour Hajji, Mohamed Faouzi Harkat, Hazem N. Nounou, Mohamed N. Nounou, Kais Bouzrara:
A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems. IEEE Access 8: 219672-219679 (2020) - 2019
- [j3]Mohamed Faouzi Harkat, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou:
Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test. Inf. Sci. 490: 265-284 (2019) - 2018
- [j2]Ines Jaffel, Okba Taouali, Mohamed Faouzi Harkat, Hassani Messaoud:
Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method. Trans. Inst. Meas. Control 40(4): 1289-1296 (2018) - 2007
- [j1]Mohamed Faouzi Harkat, Salah Djelel, Noureddine Doghmane, Mohamed Benouaret:
Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis. Int. J. Autom. Comput. 4(2): 149-155 (2007)
Conference and Workshop Papers
- 2022
- [c19]Abdelhalim Louifi, Salah Eddine Louhab, Abdelmalek Kouadri, Lahcene Rouani, Abderazak Bensmail, Mohamed Faouzi Harkat:
Interval Valued PCA-Based Approach For Fault Detection In Complex Systems. SSD 2022: 184-189 - 2020
- [c18]Amal Hichri, Mansour Hajji, Majdi Mansouri, Mohamed Faouzi Harkat, Abdelmalek Kouadri, Hazem N. Nounou, Mohamed N. Nounou:
Fault detection and diagnosis in grid-connected photovoltaic systems. SSD 2020: 201-206 - [c17]Khadija Attouri, Mansour Hajji, Majdi Mansouri, Mohamed Faouzi Harkat, Abdelmalek Kouadri, Hazem N. Nounou, Mohamed N. Nounou:
Fault detection in photovoltaic systems using machine learning technique. SSD 2020: 207-212 - [c16]Zahra Yahyaoui, Mansour Hajji, Majdi Mansouri, Mohamed Faouzi Harkat, Abdelmalek Kouadri, Hazem N. Nounou, Mohamed N. Nounou:
Efficient fault detection and diagnosis of wind energy converter systems. SSD 2020: 213-218 - [c15]Khaled Dhibi, Radhia Fezai, Kais Bouzrara, Majdi Mansouri, Abdelmalek Kouadri, Mohamed Faouzi Harkat:
Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring. SSD 2020: 302-307 - [c14]Khaled Dhibi, Radhia Fezai, Kais Bouzrara, Majdi Mansouri, Abdelmalek Kouadri, Mohamed Faouzi Harkat:
Fault detection of uncertain nonlinear process using interval-valued data-driven approach. SSD 2020: 585-590 - [c13]Lamia Belguesmi, Mansour Hajji, Majdi Mansouri, Mohamed Faouzi Harkat, Abdelmalek Kouadri, Hazem N. Nounou, Mohamed N. Nounou:
Machine learning approaches for fault detection and diagnosis of induction motors. SSD 2020: 692-698 - 2018
- [c12]Radhia Fezai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila:
Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA. SSD 2018: 590-595 - [c11]Raoudha Baklouti, Ahmed Ben Hamida, Majdi Mansouri, Mohamed Faouzi Harkat, Mohamed N. Nounou, Hazem N. Nounou:
Effective monitoring of an air quality network. ATSIP 2018: 1-4 - [c10]Radhia Fazai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila, Mohamed N. Nounou:
Fault Detection of the Tennessee Eastman Process using Online Reduced Kernel PCA. ECC 2018: 2697-2702 - [c9]Mohamed Faouzi Harkat, Tarek Ait Izem, Frédéric Kratz, Majdi Mansouri, Mohamed N. Nounou, Hazem N. Nounou:
Uncertain Dynamic Process Monitoring Using Moving Window PCA for Interval-Valued Data. DX 2018 - [c8]Raoudha Baklouti, Ahmed Ben Hamida, Majdi Mansouri, Mohamed Faouzi Harkat, Hazem N. Nounou, Mohamed N. Nounou:
Kernel Generalized Likelihood Ratio Test for Fault Detection of Chemical Processes. SMC 2018: 2663-2668 - [c7]Radhia Fazai, Majdi Mansouri, Okba Taouali, Mohamed Faouzi Harkat, Hazem N. Nounou:
Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network. SMC 2018: 3159-3164 - 2017
- [c6]Radhia Fezai, Ines Jaffel, Okba Taouali, Mohamed Faouzi Harkat, Nasreddine Bouguila:
Online process monitoring based on kernel method. ICCAD 2017: 236-241 - [c5]Ines Jaffel, Radhia Fezai, Okba Taouali, Mohamed Faouzi Harkat, Hassani Messaoud:
Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC. ICCAD 2017: 487-492 - [c4]Majdi Mansouri, Hazem N. Nounou, Mohamed Faouzi Harkat, Mohamed N. Nounou:
Fault detection of chemical processes using improved generalized likelihood ratio test. DSP 2017: 1-5 - 2013
- [c3]Chakour Chouaib, Mohamed Faouzi Harkat, Djeghaba Messaoud:
Adaptive kernel principal component analysis for nonlinear dynamic process monitoring. ASCC 2013: 1-6 - 2012
- [c2]Messaoud Bouakkaz, Mohamed Faouzi Harkat:
Combined Input Training and Radial Basis Function Neural Networks based Nonlinear Principal Components Analysis Model Applied for Process Monitoring. IJCCI 2012: 483-492 - 2007
- [c1]Amin Haji Abolhassani, Sid-Ahmed Selouani, Douglas D. O'Shaughnessy, Mohamed Faouzi Harkat:
Speech enhancement using PCA and variance of the reconstruction error model identification. INTERSPEECH 2007: 974-977
Coauthor Index
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