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SmartWind Project - Innovative solution for Smart monitoring and Predictive Maintenance of Floating Oshore Wind Turbines
Project type: NUTTEO funding.
Role: Project leader.
Objective: Develop an innovative solution combining AI, PHM, and Structural Health Monitoring (SHM) for smart monitoring and predictive maintenance of floating offshore wind turbines.
Project duration: 36 months (01/09/2025 – 31/08/2028).
Personnel recruited under the project: 1 doctoral student.
X-IMS Project - Explainable intelligent maintenance solution for connected manufacturing systems
Project type: ANR JCJC.
Role: Project leader.
Objective: Development of innovative X-AI methods for self-monitoring, prognostics, and predictive maintenance for complex systems.
Partners: University of Loraine (France).
Project duration: 42 months (01/02/2023 – 31/07/2026).
Personnel recruited under the project: 1 doctoral student (Mr. Duc An Nguyen) and 1 postdoctoral researcher (Mr. Weikun Deng) for 18 months.
PROSPERE Project - Contribution to hybrid failure prognostics and prediction uncertainty management for predictive maintenance
Project type: Occitanie Region.
Role: Co-scientific responsible.
Objective: Develop innovative multimodal learning methods for fault diagnostics and prognostics in the real-world industry context.
Partners: École de technologie supérieure (ÉTS) and Hydro-Quebec Research Institute (IREQ).
Project duration: 36 months (01/10/2021 – 30/09/2024).
Personnel recruited under the project: 1 doctoral student (Mr. S. Jose)
Industrial Project with Airbus - Review of fault detection and prognostics methods for rotating machines
Role: Co-scientific responsible for the ENIT part.
Objective: A literature review of fault detection and prognostics methods for mechanical, electrical, and magnetic defects of rotating machines.
Project type: Partnership research between Airbus, ENIT/LGP, and FEMTO-ST.
Partners: Airbus, ENIT/LGP, and FEMTO-ST.
Project duration: one year - 2022
SMART Project - Intelligent Surveillance for Predictive Maintenance of Industrial Systems
Project type: European project (Interreg POCTEFA funding).
Role: Co-scientific responsible for the ENIT part.
Objective: Development of an innovative methodology for intelligent surveillance and failure prognostics.
Partners: ENIT (France), Polytechnic University of Catalonia (Spain), ITAINNOVA (Spain), INGENIA (Spain), METALLICADOUR (France).
Project duration: 36 months (01/01/2018 – 01/01/2021).
Personnel recruited under the project: 1 doctoral student (Mr. M. Soualhi).
AFETHI Project - Automated Feature Engineering Tool to construct effective Health Indicators for predictive maintenance
Project type: Toulouse TECH Inter’Labs 2019 project.
Role: Project leader.
Objective: Development of an automated tool for constructing effective health indicators for predictive maintenance decisions.
Personnel recruited under the project: 1 Master’s internship (Ms. K-P. Pham).
Project duration: one year, 2019 - 2020
Industrial Project with ALSTOM - Development of a method for analyzing the aging of traction auxiliary motors in the railway domain
Role: Co-scientific responsible for the ENIT part.
Objective: Proposal and implementation of a method for detecting and prognosing failures of traction auxiliary motors based on analysis of electrical (current and voltage) and vibrational signals.
Project type: Partnership research between ALSTOM, ENIT/LGP, and ENSEEIHT/LAPLACE.
Partners: ALSTOM, ENIT/LGP and ENSEEIHT/LAPLACE.
Project duration: 18 months (June 2017 - December 2018).
Personnel recruited under the project: 1 postdoctoral researcher for 18 months (Dr. A. Khlaief)
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