Description:
With advanced wireless hardware and AI powered software, finding early signs of machine health deterioration in rotating equipment, and identifying the root cause are becoming mostly automated. Today such technologies are saving companies millions of dollars in avoided downtime and reduced maintenance costs. With ESG (Environmental, Social, and Governance) and Net Zero targets becoming one of the most important topics in every board room, the question is how can these existing technologies help to quantify bad actors in your machine park? Add a value (lost energy cost) and priority (Highest environmental impact) to the decision-making process of where and what maintenance action to take. These key parameters will make every dollar spend on maintenance justifiable with a measurable impact not only on the bottom line but more importantly how they have contributed to the Net Zero Targets every organization is committed to. Join this presentation to learn more about this new horizon of Condition Monitoring and help make this planet more sustainable one wireless sensor at a time!

About the Presenter:
Dries holds an Electro-Mechanical engineering degree with specialization in maintenance, from the University of Antwerp, Belgium. He has 10 years of experience in Predictive Maintenance. He started his working career at a predictive maintenance company actively using all existing predictive technologies throughout various different industries. After a couple years, he joined PRUFTECNIK Benelux as an application engineer getting involved in high-end troubleshooting using on and offline vibration measurements. Soon he was made responsible for all online condition monitoring projects, from initial design through installation and monitoring. Beginning 2014 he moved to the US office of PRUFTECHNIK (now Fluke) to setup a condition monitoring department.