Reality AI for Machine Health
and Predictive Maintenence
Use sensor inputs for condition monitoring and predictive maintenance.
Works especially well on pumps, motors, compressors, condensers and other rotating equipment.
You can use:
Vibration
Sound
Voltage/Current
Operating parameters
New or proprietary sensors
alone, or in combination, to identify anomalies
and to predict:
Bearing wear
Pump efficiency / pump curve
Alignment and mechanical issues
Reality AI uses advanced mathematics and machine learning to detect signatures in complex, very noisy, highly dynamic signal environments.
Use it to create signal classifiers and detectors that can be used with your own devices and distributed as part of your own products.
Can be embedded in firmware on inexpensive microcontrollers,
using moderate sample rates.
Icons by Josh Sorosky, Kid A, Diego Naive, Dustin Richard, luism, Marco Oligio, and Aya Sofya from the Noun Project.