Vibration Monitoring Solution

Dec. 21, 2018

GTI Predictive Technology is proud to announce the immediate availability of VibePro 24/7 for vibration route and data continuous online vibration and temperature monitoring for rotating equipment and bearing health. VibePro 24/7 is the technology that takes our predictive monitoring offerings to the next level by combining route data collection and analysis with wireless online vibration and temperature sensors.

 

GTI Predictive VibePro technology provides superior predictive tools on an iPad platform to monitor nearly any asset. Offering portability, connectivity, and affordability, our products give manufacturers an affordable and fully scalable predictive maintenance solution.

 

The VibePro 24/7 is the most advanced wireless solution for continuous asset vibration and wear monitoring. An unlimited number of wireless motes are managed by a rugged central base station to acquire data for intelligent trending. All machine data is collected in one place, enhancing route collection. The standard VibePro 24/7 mote contains an advanced 3-axis acceleration and temperature sensor which sets a new standard for frequency bandwidth while maintaining outstanding sensitivity. The VibePro 24/7 hardware is designed for demanding environments and is easy to install, enabling a minimal time investment to implement a complete monitoring solution. An expanded antenna selection makes VibePro 24/7 suited for long range data collection tasks.

 

Our VibePro 24/7 solution for route-based data collection and analysis combines the features of our award winning VibePro8 software and GTI-220 wireless portable sensor – adding a new level of asset condition monitoring. Full vibration data is available for route data and online data on the same analysis software platform. All data from every asset is now available anywhere, anytime in the same platform.

 

Through the VibePro web app, asset condition and predictive data are available from any internet connected device – anywhere in the world.