Predictive Maintenance

What is Predictive Maintenance?

Predictive maintenance is a type of maintenance strategy that aims to prevent equipment failures by using various techniques to predict when failures are likely to occur. This is done by using sensors or other monitoring systems that collect data on the performance and condition of the equipment, such as the Vibox. This data is then analyzed to identify potential problems or issues that may arise using the IIoT platform I-Sense, allowing maintenance to be performed before a shutdown.
Predictive maintenance can help reduce downtime, improve equipment efficiency, and extend equipment life, ultimately saving business costs. It is beneficial for critical equipment that cannot afford to fail and for complex or costly equipment to repair.

How Our Predictive Maintenance Solution Will Help You?

Our IIoT platform I-SENSE includes a predictive maintenance module that helps proactively manage the maintenance of the monitored assets and machinery.
This module uses advanced algorithms and machine learning to analyze vibration data from sensors and other sources to predict when equipment will fail or require maintenance. Two different algorithms do this.
The first one will show the health status of assets based on vibration analysis. In contrast, the second one will use historical data and mathematical models to predict the evolution of vibration levels.
By identifying potential issues before they occur, the predictive maintenance module helps companies avoid costly downtime and extend the lifespan of their equipment.
Additionally, the analytics module can provide recommendations for maintenance tasks and schedule them in advance, assisting companies in streamlining their maintenance processes and improving efficiency.