11 May 2026Open access
Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical HeterogeneityPublisher siteEnergy Science & Engineering, Machine Fault Diagnosis Techniques
UniversitiesLotfi Saïdi
Active, last published 2026
In machine fault diagnosis techniques
Lotfi
Saïdi
Scholar“Research focused on Machine Fault Diagnosis Techniques and adjacent fields.”
National Engineering School of Tunis
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01 · About the work
What I study
otfi Saïdi is a researcher working on Machine Fault Diagnosis Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Lotfi's work has been cited 3,109 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Machine Fault Diagnosis Techniques×46Gear and Bearing Dynamics Analysis×27Fault Detection and Control Systems×18Advanced Battery Technologies Research×12Silicon Carbide Semiconductor Technologies×8
04 · Where I am
Affiliations
Affiliation on published researchNational Engineering School of TunisDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
9 works2 Dec 20252cites
Kalman filter-based artificial neural networks for wind turbines remaining useful life predictionPublisher siteWind Engineering, Machine Fault Diagnosis Techniques
1 Jul 2025
Wavelet Images and Joint Deep-Machine Learning for Anomaly Detection in Airbus Helicopters Exclusively with Healthy Accelerometer DataPublisher site1 Jul 2025
Towards Efficient Monitoring of Slowly Evolving Degradation Processes: Insights on Feedback Mechanisms in Future Neural NetworkPublisher site1 Jan 20242cites
A Methodology for Operational Fault Diagnosis in Electrical Power Transformer: Practical ApplicationPublisher siteGreen energy and technology, Power Transformer Diagnostics and Insulation
1 Dec 2023Open access7cites
Machine Learning Algorithms Fusion Based on DGA Data for Improving Fault Diagnosis of Electrical Power TransformerPublisher siteThe Scientific Bulletin of Electrical Engineering Faculty, Power Transformer Diagnostics and Insulation
3 Nov 202333cites
Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysisPublisher siteElectrical Engineering, Power Transformer Diagnostics and Insulation
2 Aug 2023Open access3cites
Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysisPublisher siteResearch Square, Power Transformer Diagnostics and Insulation
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