You can use Asset Risk Predictor with any assets that can be monitored using sensors. Some examples include (but are not limited to):
Industrial machinery, such as pumps, motors, and gearboxes, to monitor for abnormal vibrations that may indicate a mechanical failure or unbalance.
HVAC systems, to monitor temperature, humidity, and air flow.
Electrical systems, to monitor current, voltage, and power usage.
Motors and generators, to monitor speed (RPM) and power output and power consumption.
Manufacturing equipment, to monitor temperature and humidity levels in the production environment.
Automotive, to monitor temperature, humidity, speed and vibration, of engine, transmission and wheels.
Wind turbines and other renewable energy systems, to monitor for abnormal vibrations, temperature changes and power output.
Robotics, to monitor temperature, humidity, vibrations, speed, current and voltage for safety and performance optimization.
What types of sensors can I use?
Asset Risk predictor is designed to be sensor-type agnostic, meaning that it can work with all types of sensors. Some examples include (but are not limited to):
Current or power
I use a different CMMS can I still use Asset Risk Predictor?
Yes, Asset Risk Predictor works independent of the Fiix CMMS.
Can I have one asset with 15 data tags?
Yes, as long as you use a total of 15 data tags, you can have fewer than five assets.
Can I add or change assets later?
Yes, you can add or change the assets (and sensors) included in Asset Risk Predictor. The process for adding or changing assets and sensors is similar to the initial setup. Note: There is a cost associated with adding or changing assets and sensors.
How does this solution scale? For example, could we use it for 1000 assets?
Yes, because it is a scaled cloud solution, and it can technically be enabled for that many assets. If you want to enable Asset Risk Predictor for a large number of assets, contact your Fiix representative to discuss your options.
How do you know the data and predictions I’m receiving are accurate?
Technician can verify the accuracy by looking at the raw sensor values and operating status during the specified risky time spots.
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