No abstract available for this document.
@article{2e51852b-d0af-4a47-9ad0-b1143eea7aa6,
title={Detection automatique et diagnostic des defauts de},
author={Unknown},
year={2026},
language={en}
}TY - JOUR TI - Detection automatique et diagnostic des defauts de AU - Unknown PY - 2026 LA - en ER -
Non spécifié
This research focuses on the predictive maintenance of rotating machinery, specifically the gearbox of mixer used in the solvent extraction (SX) plant
Guedalia ILUNGA MUTOMBO, Edouard NDALA
This work addresses the automatic diagnosis of faults in asynchronous (induction) motors, which constitute around 80% of commonly used electric motors
Mudila Dhanunjaya Rao, Kamalesh K. Singh
Rapid global technological development has resulted in increased production of electronic waste, which presents both challenges and opportunities in r
Roger Rumbu
This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data