L'institut
FEMTO-ST
Département AS2M
Mohamed Aziz Zaghdoudi
Département AS2M
Équipe DATA-PHM
SUPMICROTECH-ENSMM
- Courriel :
- mohamed.zaghdoudi [at] femto-st.fr
- Adresse :
-
AS2M (ENSMM)
26 rue de l'Epitaphe
25000 BESANCON
Publications de Mohamed Aziz ZAGHDOUDI
2025 (1)
- inproceedings - Machine Learning Fault Detection for Piezoelectric Actuators in a Microassembly System
/ Trondheim, Norway (Volume 59, Issue 10, 2025, Pages pages 909–914)
Zaghdoudi, Mohamed Aziz | Varnier, Christophe | Zerhouni, Noureddine | Hajri-Gabouj, Sonia | Akari, Wissalressource | doi | bibtex@inproceedings{c55dfd69-b7e2-472e-b5ff-4ee72d466d3a, title = {Machine Learning Fault Detection for Piezoelectric Actuators in a Microassembly System}, author = {Zaghdoudi, Mohamed Aziz and Varnier, Christophe and Zerhouni, Noureddine and Hajri-Gabouj, Sonia and Akari, Wissal}, year = {2025}, address = {Trondheim, Norway}, editor = {c55dfd69-b7e2-472e-b5ff-4ee72d466d3a-editor.pdf}, month = {jun}, number = {10}, pages = { 909--914}, url = {https://publiweb.femto-st.fr/tntnet/entries/21813/documents/author/data}, volume = {59}, doi = {https://doi.org/10.1016/j.ifacol.2025.09.154} }
2024 (2)
- article - Collaborative and integrated data-driven delay prediction and supplier selection optimization: A case study in a furniture industry
Science direct (Volume 197, nov 2024, Pages :110590)
Zaghdoudi, Mohamed Aziz | Hajri-Gabouj, Sonia | Ghezail, Feiza | Darmoul, Saber | Varnier, Christophe | Zerhouni, Noureddine - inproceedings - A Novel Approach for Evaluating Datasets Similarities Based on Analytical Hierarchy Process in the Industrial PHM Context
/ Prague, Czech Republic (2024, Pages pages 71-80)
Zaghdoudi, Mohamed Aziz | Varnier, Christophe | Hajri-Gabouj, Sonia | Zerhouni, Noureddineressource | doi | bibtex@inproceedings{42e91763-54b0-40ec-ad64-67046ba61917, title = {A Novel Approach for Evaluating Datasets Similarities Based on Analytical Hierarchy Process in the Industrial PHM Context}, author = {Zaghdoudi, Mohamed Aziz and Varnier, Christophe and Hajri-Gabouj, Sonia and Zerhouni, Noureddine}, year = {2024}, address = {Prague, Czech Republic}, editor = {42e91763-54b0-40ec-ad64-67046ba61917-editor.pdf}, month = {jul}, pages = {71-80}, url = {https://publiweb.femto-st.fr/tntnet/entries/21814/documents/author/data}, doi = {https://doi.org/10.36001/phme.2024.v8i1.4036} }
2022 (1)
- inproceedings - Predictive Analysis Methodology for Industrial Systems: Application in Supplier Delays Prediction
IEEE International Conference on Information Technology & Smart Industrial Systems (ITSIS 2022) / Paris, France (2022, Pages pages 6)
Zaghdoudi, Mohamed Aziz | Hajri-Gabouj, Sonia | Varnier, Christophe | Zerhouni, Noureddine | Ghezail, Feizaressource | doi | bibtex@inproceedings{5a24a406-11b3-45d0-ae7d-0239e7c33d8c, title = {Predictive Analysis Methodology for Industrial Systems: Application in Supplier Delays Prediction }, author = {Zaghdoudi, Mohamed Aziz and Hajri-Gabouj, Sonia and Varnier, Christophe and Zerhouni, Noureddine and Ghezail, Feiza }, year = {2022}, address = {Paris, France}, booktitle = {IEEE International Conference on Information Technology \& Smart Industrial Systems (ITSIS 2022)}, editor = {}, month = {jul}, pages = {6}, url = {https://publiweb.femto-st.fr/tntnet/entries/21815/documents/author/data}, doi = {10.1109/ITSIS56166.2022.10118391} }









