Mohamed Faouzi Harkat

Orcid: 0000-0003-2093-0902

According to our database1, Mohamed Faouzi Harkat authored at least 28 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval.
IEEE Access, 2024

2023
Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques.
Comput. Syst. Sci. Eng., 2023

2022
Interval Valued PCA-Based Approach For Fault Detection In Complex Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems.
Eur. J. Control, 2021

2020
A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems.
IEEE Access, 2020

Interval-Valued Features Based Machine Learning Technique for Fault Detection and Diagnosis of Uncertain HVAC Systems.
IEEE Access, 2020

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS.
IEEE Access, 2020

Efficient fault detection and diagnosis of wind energy converter systems.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection and diagnosis in grid-connected photovoltaic systems.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection of uncertain nonlinear process using interval-valued data-driven approach.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Machine learning approaches for fault detection and diagnosis of induction motors.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection in photovoltaic systems using machine learning technique.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

2019
Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test.
Inf. Sci., 2019

2018
Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method.
Trans. Inst. Meas. Control, 2018

Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Kernel Generalized Likelihood Ratio Test for Fault Detection of Chemical Processes.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Uncertain Dynamic Process Monitoring Using Moving Window PCA for Interval-Valued Data.
Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, 2018

Fault Detection of the Tennessee Eastman Process using Online Reduced Kernel PCA.
Proceedings of the 16th European Control Conference, 2018

Effective monitoring of an air quality network.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA.
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018

2017
Fault detection of chemical processes using improved generalized likelihood ratio test.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

Online process monitoring based on kernel method.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

2013
Adaptive kernel principal component analysis for nonlinear dynamic process monitoring.
Proceedings of the 9th Asian Control Conference, 2013

2012
Combined Input Training and Radial Basis Function Neural Networks based Nonlinear Principal Components Analysis Model Applied for Process Monitoring.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

2007
Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis.
Int. J. Autom. Comput., 2007

Speech enhancement using PCA and variance of the reconstruction error model identification.
Proceedings of the INTERSPEECH 2007, 2007


  Loading...