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Abdenour Soualhi
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2020 – today
- 2022
- [c5]Chakib Drif, Abdenour Soualhi, Hamou Nouri:
A technique for diagnosing short-circuit and open-circuit faults of the three-phase inverter. SSD 2022: 92-96 - [c4]Moncef Soualhi, Noureddine Zerhouni, Abdenour Soualhi, Kamel Eddine Hemsas, Thi Phuong Khanh Nguyen, Kamal Medjaher:
Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator. CoDIT 2022: 1014-1019
2010 – 2019
- 2018
- [j5]Abdenour Soualhi
, Maawad Makdessi, Ronan German, Francklin Rivas Echeverría
, Hubert Razik, Ali Sari, Pascal Venet, Guy Clerc:
Heath Monitoring of Capacitors and Supercapacitors Using the Neo-Fuzzy Neural Approach. IEEE Trans. Ind. Informatics 14(1): 24-34 (2018) - [c3]Abdenour Soualhi, Sofiane Taleb:
Data fusion for fault severity estimation of ball bearings. ICIT 2018: 2105-2110 - 2016
- [j4]Abdenour Soualhi, Guy Clerc, Hubert Razik, Mohamed El Badaoui
, François Guillet:
Hidden Markov Models for the Prediction of Impending Faults. IEEE Trans. Ind. Electron. 63(5): 3271-3281 (2016) - 2015
- [j3]Abdenour Soualhi, Kamal Medjaher, Noureddine Zerhouni:
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression. IEEE Trans. Instrum. Meas. 64(1): 52-62 (2015) - [c2]Maawad Makdessi, Abdenour Soualhi, Ali Sari, Pascal Venet, Hubert Razik, Guy Clerc:
Health monitoring of metallized film capacitors using Neo Fuzzy Neural approach. ISIE 2015: 1266-1271 - 2014
- [j2]Abdenour Soualhi, Hubert Razik, Guy Clerc, Dinh Dong Doan
:
Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System. IEEE Trans. Ind. Electron. 61(6): 2864-2874 (2014) - 2013
- [j1]Abdenour Soualhi, Guy Clerc, Hubert Razik:
Detection and Diagnosis of Faults in Induction Motor Using an Improved Artificial Ant Clustering Technique. IEEE Trans. Ind. Electron. 60(9): 4053-4062 (2013) - [c1]Abdenour Soualhi, Ali Sari, Hubert Razik, Pascal Venet, Guy Clerc, Ronan German
, Olivier Briat
, Jean-Michel Vinassa:
Supercapacitors ageing prediction by neural networks. IECON 2013: 6812-6818
Coauthor Index
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