Case Study: Gearbox Condition Monitoring: Real Life Examples Powered by Innovative Technologies

Bertrand Wascat, Product Manager, ACOEM Hans De Schutter, Technical Manager, Machine Dynamics

Description

Gearboxes failures can be very costly and often impacting the production capabilities of the industrial site to which it belongs. Among the diagnostic tools available, vibration analysis is certainly the most comprehensive of them also providing early detection capabilities. However understanding the specialties of this critical component are crucial to make a reliable diagnostic.
Specific and innovative tools that can be used to enhance the diagnostic reliability and performance will be introduced during this conference and illustrated by concrete industrial case studies and customer feedback.

Takeaways

Please join this presentation:
-If you are an industry professional willing to learn how to achieve a better reliability on your critical assets
-If you want to know about the innovative technology that can help your reliability program
-If you need a deeper understanding on how we solved difficult problems in the field across the globe

Bio - Bertrand Wascat

Bertrand is the Product & Marketing manager of ACOEM solutions for predictive maintenance with a focus given on the ease of use thanks to Artificial Intelligence and wireless monitoring systems, Certified Mobius ARP (Asset Reliability Practitioner) CAT I certification.
He started his journey in the world of condition monitoring by working on the monitoring of nuclear reactor cooling pumps within the AREVA group before joining the innovative ACOEM company more than 10 years ago, where they are actively working on the development of innovative solutions for the industry 4.0 and the IIoT.

Co-author of the patents US 9,921,136 B2 WIRELESS COLLECTION AND ANALYSIS OF DATA, US 9,913,006 POWER-EFFICIENT DATA-LOAD-EFFICIENT METHOD OF WIRELESSLY MONITORING MACHINES, US 10,533,920 AUTOMATIC DIAGNOSIS WITH CONFIDENCE LEVEL INDICATION, US 10,551,243 POWER EFFICIENT MACHINE DIAGNOSTIC MONITORING USING MULTIPLE VIBRATION SENSOR WIRELESS CONFIGURATION

Bio - Hans De Schutter