Mohamed N. Nounou, Ph.D.
Affiliations: | 2000 | Ohio State University, Columbus, Columbus, OH |
Area:
Chemical Engineering, System Science Engineering, StatisticsGoogle:
"Mohamed Nounou"Parents
Sign in to add mentor| Bhavik R. Bakshi | grad student | 2000 | Ohio State | |
| (Multiscale Bayesian linear modeling and applications.) | ||||
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Publications
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| Malluhi B, Nounou H, Nounou M. (2022) Enhanced Multiscale Principal Component Analysis for Improved Sensor Fault Detection and Isolation. Sensors (Basel, Switzerland). 22 |
| Fezai R, Mansouri M, Abodayeh K, et al. (2020) Partial kernel PCA-based GLRT for fault diagnosis of nonlinear processes Journal of Intelligent and Fuzzy Systems. 38: 4829-4843 |
| Dhibi K, Fezai R, Mansouri M, et al. (2020) A Hybrid Approach for Process Monitoring: Improving Data-Driven Methodologies With Dataset Size Reduction and Interval-Valued Representation Ieee Sensors Journal. 20: 10228-10239 |
| Dhibi K, Fezai R, Mansouri M, et al. (2020) Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems Ieee Journal of Photovoltaics. 1-8 |
| Fezai R, Abodayeh K, Mansouri M, et al. (2020) Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS Ieee Access. 8: 78343-78353 |
| Kouadri A, Hajji M, Harkat M, et al. (2020) Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems Renewable Energy. 150: 598-606 |
| Fezai R, Mansouri M, Abodayeh K, et al. (2020) Online reduced gaussian process regression based generalized likelihood ratio test for fault detection Journal of Process Control. 85: 30-40 |
| Behari N, Sheriff MZ, Rahman MA, et al. (2020) Chronic leak detection for single and multiphase flow: A critical review on onshore and offshore subsea and arctic conditions Journal of Natural Gas Science and Engineering. 81: 103460 |
| Hajji M, Harkat M, Kouadri A, et al. (2020) Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems European Journal of Control |
| Basha N, Sheriff MZ, Kravaris C, et al. (2020) Multiclass data classification using fault detection-based techniques Computers & Chemical Engineering. 136: 106786 |