Description
The aim of the project was to anticipate industrial ventilation breakdowns using a turbulence sensor supplied by the IEMN (CNRS) research team.
We used a hot wire that acts like an anemometric sensor. When the air hits the wire, it should cool, but we keep it at a constant temperature, so a certain voltage is needed and delivered to keep it constant, and that's what we're studying.
Using only this voltage, we use Deep Learning algorithms to know what state the fans in the duct are in.
