Webinar Description:

Wireless Vibration Sensors have been around for quite some time and have traditionally been used on simple, constant speed machines. With the rapid development of Wireless IIoT Sensors with more advanced Edge Computing capabilities that can then be paired with powerful automated analytics in the cloud, we are seeing a shift towards very dynamic and critical assets being wirelessly monitored. In this case study we explore the usage of wireless sensors on an overhead crane application. A complete review of the application including the initial project discussions highlighting the challenges, scope definition, measurement strategies, automated RPM detection, synchronization of sensors, edge algorithms, and fault characterizations that are possible will be presented. This use case highlights the evolution wireless technology has made in the past decade and shows that almost any asset, no matter how complex or dynamic it is, can be successfully monitored when the right technology is implemented correctly. You will get a behind the scenes look at what it takes to successfully monitor one of the most dynamic and difficult to monitor assets in the industry and take away the key lessons learned.

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. Dries 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.