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#IOTSWC23
Parallel Session

Pfeiffer Vacuum: Using Machine Learning to Drive Maintenance Strategies

IOT Solutions World Congress Artificial Intelligence Manufacturing / Smart Factories / Supply Chain

Tuesday 31, 15:55h - 16:25h | Room 4
31-01-2023 15:55 31-01-2023 16:25 Europe/Madrid Pfeiffer Vacuum: Using Machine Learning to Drive Maintenance Strategies

Maintenance is a key driver of manufacturing excellence. It is also a means to provide a better understanding of the production environment. The ability to make informed decisions about maintenance scenarios allows end customers to improve the performance of the machines they operate. Pfeiffer Vacuum has partnered with STMicroelectronics to develop optimized solutions for monitoring and predicting equipment condition. By using AI to identify and address potential problems at their earliest signs, before failures occur, companies can minimize equipment downtime and increase overall efficiency.

Room 4

Maintenance is a key driver of manufacturing excellence. It is also a means to provide a better understanding of the production environment. The ability to make informed decisions about maintenance scenarios allows end customers to improve the performance of the machines they operate. Pfeiffer Vacuum has partnered with STMicroelectronics to develop optimized solutions for monitoring and predicting equipment condition. By using AI to identify and address potential problems at their earliest signs, before failures occur, companies can minimize equipment downtime and increase overall efficiency.

Speakers

Pedro Mier

Pedro Mier holds a degree in Telecommunications Engineer ing from the Polytechnic University of Catalonia, MBA from ESADE and PADE from IESE. He is currently President of AMETIC (Association of Electronics, Information Technology and Telecommunications Companies of Spain), Shareholder and Chairman of the Board of Directors of TRYO Aerospace & Electronics, Board Member of the Premo Group and Committee of CTTC. member of Space Angels Network and Member of the Sc ientific Advisory

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