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TERATEC 2019 Forum
Workshops - Wednesday June 12

Workshop 5 - 14:00 to 17:30
Machine learning & Maintenance pr├ędictive
Chaired by Erick JONQUIERE, AFNet et Jean-Laurent PHILIPPE, Intel

Machine learning for pressure parts integrity management

By Michel-Ange CAMHI, Group Chief Data Officer, Bureau Veritas

Pressure parts are a key element of integrity of many industrial sites : their inspection & maintenance most often require a shutdown of the asset, and leaks or rupture may have very serious consequences on the whole setup, or even on safety. Anticipating on their degradation, and optimization of their maintenance are key stakes of industrial management. In this context, which role for Artificial Intelligence, and more precisely Machine Learning?

We will share a RoE on a real application case on coal boilers pressure parts.


Biographie : Michel-Ange Camhi est Chief Data Officer du groupe Bureau Veritas, en charge de la stratégie de valorisation des données pour l’ensemble des activités du groupe. Diplômé de l’Ecole Centrale de Lille en 1998 (option Automatique), il a passé 18 ans chez Worldline, menant notamment une équipe de R&D sur les services mobiles et l’IA, ainsi que le business développement du groupe, avant de rejoindre l’équipe de transformation digitale de Bureau Veritas. 

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For any other information regarding the workshops, please contact :

Jean-Pascal JEGU
Tel : +33 (0)9 70 65 02 10
2, rue de la Piquetterie


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