Tarek Berghout

Aircraft engines Remaining Useful Life prediction with an adaptive denoising online sequential Extreme Learning Machine

Mohamed Benbouzid, Ouahab Kadri, Lotfi Saidi, 2020, Eng. Appl. Artif. Intell..

A deep supervised learning approach for condition-based maintenance of naval propulsion systems

Elhoussin Elbouchikhi, Toufik Bentrcia, Tarek Berghout, 2021 .

Leveraging Label Information in a Knowledge-Driven Approach for Rolling-Element Bearings Remaining Useful Life Prediction

Leila Hayet Mouss, Tarek Berghout, Mohamed Benbouzid, 2021, Energies.

Machine Learning for Photovoltaic Systems Condition Monitoring: A Review

Mohamed Benbouzid, Sinisa Djurovic, Xiandong Ma, 2021, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society.

Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review

Mohamed Benbouzid, Xiandong Ma, Yueqi Wu, 2021, Energies.

A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction

Leila Hayet Mouss, Toufik Bentrcia, Tarek Berghout, 2021, IEEE Transactions on Energy Conversion.

Auto-NAHL: A Neural Network Approach for Condition-based Maintenance of Complex Industrial Systems

S. M. Muyeen, Toufik Bentrcia, Tarek Berghout, 2021, IEEE Access.

Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects

Xiandong Ma, Siniša Djurović, Toufik Bentrcia, 2021, Energies.