In the next issue of Contrôles Essais MesuresThe technical focus is on artificial intelligence, which helps anticipate breakdowns. This is a promising theme, as it is closely scrutinized by manufacturers seeking to optimize and secure their processes.
In this episode of Métrolaudio, we invite you to listen to an interview with the article's author, Youssef Belgnaoui, who explains why he chose this theme and what to expect from it. Want to find out more? Just click here subscribe to receive the September issue of the magazine in which this article will appear...
And here's a sneak preview of the first lines of the article...
Untimely stoppages in an industrial process can have unfortunate and costly consequences. They may be due to recurring, well-known faults, or to completely new ones. Unlike traditional deterministic algorithms, artificial intelligence (AI) techniques used to monitor equipment in real time can both detect phenomena that have not occurred before and identify others that are new. Their application to predictive maintenance requires the collection of information on the operating status and determining parameters of machines. Analysis of this data will enable us to predict a failure well before it occurs. However, the successful deployment of an AI-based maintenance solution requires a combination of business knowledge and the expertise of Data scientists to capture and analyze data representative of the problem under study.
Speakers include :
Youssef Miloudi: head of research and innovation at Berger Levrault.
Jean-François Bouin : president and co-founder of Diagrams Technologies.
Laurent Mismacque: director Customer Services, Digital Services at Siemens.
Guillaume Lavergne: predictive maintenance project manager at Senseye.
Clément Villeviere: Digital Transformation Market Development Manager at Emerson Automation Solution.
Mateus Nicoladelli de Oliveira : Director of Digital Development at Weg.
Enjoy!