In the next issue of the Contrôles Essais Mesuresmagazine, the technical focus is dedicated to artificial intelligence that makes it possible to anticipate breakdowns. A promising theme, because scrutinized by manufacturers in search of optimization and security of their process.
In this episode of Métrolaudio, we invite you to listen to the interview with the author of the article, Youssef Belgnaoui, who explains why you chose this theme and what to expect from it. Want to know more? Simply subscribe to receive the September issue of the magazine in which this article will appear...
And in preview, we offer below the first lines of the article...
Untimely shutdowns of an industrial process can have unfortunate and costly consequences. They can be due to recurring and known breakdowns, or completely new. Unlike traditional deterministic algorithms, artificial intelligence (AI) techniques implemented to monitor equipment in real time make it possible both to detect phenomena that have not already occurred while identifying some others that have a new character. Their application to predictive maintenance requires the collection of information on the operating status and determining parameters of the machines. The analysis of this data will make it possible to predict a failure well before it occurs. However, the successful deployment of an AI-based maintenance solution requires combining business knowledge with the expertise of data scientists in order to capture and analyze data representative of the problem studied.
With as speakers:
Youssef Miloudi: Head of Research and Innovation at Berger Levrault.
Jean-François Bouin: President and co-founder of Diagrams Technologies.
Laurent Mismacque: Director of Customer Services, Digital Services at Siemens.
Guillaume Lavergne: predictive maintenance project manager at Senseye.
Clément Villeviere: Head of Market Development for Digital Transformation at Emerson Automation Solution.
Mateus Nicoladelli de Oliveira: Director of Digital Development at Weg.
Good listening!