ViBE System Monitoring
Now available on BloApCo Trim Cutters and Material Handing Fans
BloApCo’s ViBE continuously monitors the health of your Trim Cutters and Fans to predict costly equipment failures and prevent unplanned downtime, reducing maintenance costs by up to 40% and downtime up to 50%.
- Cost Efficiency: Dramatically cut equipment downtime and maintenance costs.
- Performance Optimization: Boost productivity and extend asset life through continuous monitoring and diagnostics.
- Operational Safety: Enhance operability with proactive, real-time preset and custom alarms.
- Easy Installation: Battery-operated wireless magnetic sensors. Gateway plugs into standard 120V outlet.
Predict Failures.
From Sensor
Prevent Downtime.
To Gateway
Improve Performance.
To Cloud
Key ViBE System Components
Real-Time Asset Monitoring:
Utilize advanced wireless sensors for continuous equipment insight and data acquisition.
Vibration & Temperature Sensors:
Detect early signs of equipment failure by monitoring fluctuations and anomalies in vibration patterns and temperature.
Wireless IO Portals:
Seamlessly integrate with existing systems and third-party sensors for comprehensive monitoring.
User-Friendly Diagnostics:
Enable effective maintenance without the need for specialized training.
Scalable Solutions:
Customizable to any industrial environment, ensuring flexibility and scalability.
Integration Made Easy:
System can be integrated directly with existing PLC, SCADA, and HMI systems using EtherNet/ IP™ or Modbus TCP/IP protocols, enhancing your control and data acquisition capabilities.
Case Study - Revolutionizing Condition Monitoring in Nonwoven Manufacturing
Challenge
A nonwoven manufacturer faced the challenge of excessive heat generated by their complex machinery during the fiber processing stage, leading to thermal events, material loss, and putting personnel at risk. They were in search of a predictive technology solution to monitor their equipment and detect potential issues before they turned into costly downtime.
Solution
Through a local distributor, they discovered an innovative Predictive Maintenance System utilizing wireless and wired sensor technology to monitor the condition of assets, providing real-time temperature feedback without the need for complicated wiring.
The Predictive Maintenance System proved to be an effective solution for the nonwovens manufacturer looking to prevent thermal events and minimize unplanned downtime with a condition monitoring solution. The integration and application of the system was quick and simple, and the cloud-based capabilities were particularly useful.
Conclusion
By investing in the IIoT-driven condition monitoring system, the nonwovens manufacturer was able to gain better insights into their equipment’s condition and take corrective action before a catastrophic event occurred. This helped them improve their operations, minimize unplanned downtime, and increase safety for their personnel, which has led to the parent company’s consideration of using the system in more of their facilities.