Webinar Description:

With new IIoT protocols being implemented at a fast pace and already proving their added value in day-to-day maintenance life, we show an example of how it will transform the future of handheld data collection. This presentation shows the true advantages of having an interconnected system, allowing field technicians and decision makers to interact on an instant basis. On top of that, these open-source protocols allow third-party analytic tools to assist the decision makers to improve overall plant reliability and uptime. This is a practical example of handheld vibration data collection and that data being instantly available on a clear dashboard with the possibility to integrate data into any software.

Learning Takeaways:

1. Fundamentals of IIoT & AI technologies for reliability benefits
2. Truly interconnected system setups
3. Practical example showing the value of IIoT technology improving traditional data collection.

About the Presenters

After graduating as an electro mechanical engineer, specializing in maintenance, I worked for a predictive maintenance company actively using all existing predictive maintenance technologies throughout various different industries. After a few years I started working for PRUFTECHNIK Benelux as an application engineer involved with high-end troubleshooting using on and offline vibration measurements, as well as the responsibility for all online condition monitoring projects, from initial design through installation and remote monitoring. In 2014 I moved to the US office of PRUFTECHNIK where we are setting up a condition monitoring department to serve the US market on all CM-related topics, including proactive maintenance, remote (temporary) monitoring, troubleshooting and torque measurements.