Predictive Monitoring and Preventive Maintenance
Machine Learning and Anomaly Detection
SensrTrx Manufacturing Analytics not only helps monitor machines or lines to decide when maintenance is needed, but with continuous monitoring, supports preventive maintenance.
Using vibration and temperature sensors, transmit data to SensrTrx Manufacturing Analytics to understand trends, reporting, and analysis of data. Then, integrate data with your CMMS system to schedule maintenance, track inventory, and maintain workflow.
Take Advantage of Manufacturing Analytics
See how SensrTrx makes getting the temperature and vibration data you need… simple.
More Efficient Workflows, Streamlined Communication
Knowing when a machine is running or not is half the battle. If the machine is experiencing unscheduled downtime, maintenance is called in to fix the problem. Understanding what is happening if the machine is not running is the next priority. What if a potential problem could be fixed before it occurs, based on data gathered from the machine?
Using SensrTrx Manufacturing Analytics, condition-based monitoring and preventive maintenance can be achieved. Using the example below, we’ll show you how:
- A change in temperature or vibration on the machine indicates a problem
- SensrTrx receives an alert of irregular changes
- A maintenance order is issued
- Once the issue is fixed, an automatic alert is sent notifying that the machine or line is back in production
SensrTrx continuously tracks meter readings, in line with the number of cycles and runtime data of your machines or lines. Using the data gathered, see the overall picture of the health of the machine.
Reduce costs and time spent on maintenance with condition monitoring and preventive maintenance.
“Knowing when machines are running informs efficiency improvement efforts moving focus between operator, machine and material issues.”
“Sensrtrx made the impossible, possible. They took on the challenge and we now have all of our critical machines connected.”
“We wanted to get off our paper system. We hoped that SensrTrx could help us collect data into a central database to improve the way we worked and that’s exactly what SensrTrx did.”