Tag: BL.Predict
BL.Predict, the clairvoyant of maintenance for Le Havre city
Imagine you won the lottery (yes, we all dream about it) and bought Versailles castle. You can not remember if
Hamza Safri’s CIFRE thesis begin
Industry 4.0 enabled suppliers and manufacturers to introduce new technologies concepts. The mains concepts introduced are the Internet of Things
CARL Berger-Levrault and Alstef Automation interview about our collaboration
Gérald Bourtguize, Director of Operation at CARL Berger-Lavrault and Benoît Lepointe, Maintenance Service Manager for Alstef Automation went to Smart
Contrôles essais mesures : L’opérateur (assisté), au coeur de l’industrie du futur (Lien)
How to apply Christoffel-Darboux kernel on online anomaly detection with few parameterization
Incremental properties Kevin Ducharlet is Ph.D. Candidate in the DRIT team. Since a year and a half, he started his
What is Federated Learning?
Nowadays, a massive amount of data is generated by devices such as smartphones and connected objects (IoT). This data is
Smart Maintenance: IA Hybridization for diagnosis and prognosis of the state of the equipment
As you know CARL Berger-Levrault is doing research and work for the future industry and in particular the maintenance function.One
Adaptative Maintenance: CARL’S IoT Platform
In 2016, industrial customers have asked us about our vision of the industry of the future, and in particular the
AI & Data analysis for predictive maintenance of sewerage pumping system
The International Asset Performance 4.0 Conference will be held from 15 to 17 September 2020 in Belgium. On this occasion, several companies have come together to organize a Hackathon. Among them is Aquafin, a Flemish specialist in wastewater treatment. Their objective is to improve the daily