Abdelmalek Kouadri

Orcid: 0000-0003-3201-2500

According to our database1, Abdelmalek Kouadri authored at least 20 papers between 2011 and 2024.

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

Timeline

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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

Dynamic Interval-Valued PCA for Enhanced Fault Detection.
Proceedings of the 10th International Conference on Control, 2024

Uncertainty Quantification Kernel PCA: Enhancing Fault Detection in Interval-Valued Data.
Proceedings of the 10th International Conference on Control, 2024

Real-Time Fault Detection Scheme for Industrial Chemical Tennessee Eastman Process.
Proceedings of the 10th International Conference on Control, 2024

Real-Time Fault Detection and Diagnosis Method for Industrial Chemical Tennessee Eastman Process.
Proceedings of the 10th International Conference on Control, 2024

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

Faults Classification in Grid-Connected Photovoltaic Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection.
Trans. Inst. Meas. Control, 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
Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the International Conference on Internet of Things, 2019

2014
An adaptive threshold estimation scheme for abrupt changes detection algorithm in a cement rotary kiln.
J. Comput. Appl. Math., 2014

2013
A statistical-based approach for fault detection in a three tank system.
Int. J. Syst. Sci., 2013

2011
Prediction of boiler output variables through the PLS linear regression technique.
Int. Arab J. Inf. Technol., 2011


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