Follow
Lamiaa Elshenawy
Lamiaa Elshenawy
Associate Professor, Department of Industrial Electronics and Control Engineering, Menoufia
Verified email at el-eng.menofia.edu.eg
Title
Cited by
Cited by
Year
Efficient recursive principal component analysis algorithms for process monitoring
LM Elshenawy, S Yin, AS Naik, SX Ding
Industrial & Engineering Chemistry Research 49 (1), 252-259, 2010
1212010
Recursive fault detection and isolation approaches of time-varying processes
LM Elshenawy, HA Awad
Industrial & Engineering Chemistry Research 51 (29), 9812-9824, 2012
372012
Fault diagnosis of time-varying processes using modified reconstruction-based contributions
LM Elshenawy, TA Mahmoud
Journal of Process Control 70, 12-23, 2018
342018
Unsupervised Machine Learning Techniques for Fault Detection and Diagnosis in Nuclear Power Plants
LM Elshenawy, MA Halawa, TA Mahmoud, HA Awad, MI Abdo
Progress in Nuclear Energy 142, 103990, 2021
272021
Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes
LM Elshenawy, C Chakour, TA Mahmoud
Journal of the Franklin institute 359 (13), 7115-7139, 2022
202022
Simultaneous Fault Detection and Diagnosis Using Adaptive Principal Component Analysis and Multivariate Contribution Analysis
LM Elshenawy, TA Mahmoud, C Chakour
Industrial & Engineering Chemistry Research, 2020
192020
Echo state neural network based state feedback control for SISO afine nonlinear systems
TA Mahmoud, LM Elshenawy
IFAC-PapersOnLine 48 (11), 354-359, 2015
152015
Model-based fault diagnosis via parameter estimation using knowledge base and fuzzy logic approach
L Mohamed, AS Ibrahim
11th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No. 02CH37379 …, 2002
152002
Direct Adaptive Control for Nonlinear Systems Using A TSK Fuzzy Echo State Network Based on Fractional-Order Learning Algorithm
TA Mahmoud, MI Abdo, EA Elsheikh, LM Elshenawy
Journal of the Franklin Institute, 2021
142021
Adaptive CIPCA-based fault diagnosis scheme for uncertain timevarying processes
C Chakour, A Hamza, LM Elshenawy
Neural Computing and Applications, 2021
102021
Observer-based echo-state neural network control for a class of nonlinear systems
TA Mahmoud, LM Elshenawy
Transactions of the Institute of Measurement and Control 40 (3), 930-939, 2018
82018
TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification
TA Mahmoud, LM Elshenawy
Neural Computing and Applications 34 (9), 7033-7051, 2022
52022
Fault detection of nonlinear processes using fuzzy c-means-based kernel PCA
LM Elshenawy, TA Mohamed
ICMLEME'2014, 318-324, 2014
42014
Direct adaptive control based on LS-SVM inverse model for nonlinear systems
TA Mahmoud, LM Elshenawy
2014 19th International Conference on Methods and Models in Automation and …, 2014
22014
Fault detection of wind turbine system based on data-driven methods: a comparative study
LM Elshenawy, AA Gafar, HA Awad, MS AbouOmar
Neural Computing and Applications, 1-18, 2024
2024
Data-Driven Soft Sensors Based on Support Vector Regression and Gray Wolf Optimizer
MS AbouOmar, A Badawy, LM Elshenawy
2023 3rd International Conference on Electronic Engineering (ICEEM), 1-6, 2023
2023
Attacks Detection in Industrial Cyber-Physical Systems Using Convolutional Neural Networks
M Salah, LM Elshenawy
2023 3rd International Conference on Electronic Engineering (ICEEM), 1-6, 2023
2023
Enhanced Efficiency and Scalability in WIM Systems using Smart Sensors and Centralized Processing
MS Abosreea, LM Elshenawy, IH Hashim
2023 3rd International Conference on Electronic Engineering (ICEEM), 1-6, 2023
2023
Fault detection and diagnosis strategy for wind turbine system using partial least square technique
LM Elshenawy, AA Gafar, H Awad
2023 3rd International Conference on Electronic Engineering (ICEEM), 1-6, 2023
2023
Fault Detection and Isolation Indices for Large-Scale Systems
LM Elshenawy
2019 14th International Conference on Computer Engineering and Systems …, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20