This technology offer presents an AI-based real-time classification and inference system to detect various machine operating conditions based on trained vibration patterns.
This solution uses Neuromorphic AI engine based on 3-layers artificial neural network with Radial Basis Function as activation function to model linear and non-linear vibration patterns. This solution operates without the need of a GPU, it incorporates a condition monitoring system and a low power edge-based AI.
This solution supports common types of condition-based monitoring including vibration analysis and monitoring, and temperature tracking. Real-time data is gathered through sensors, providing an ongoing method of testing and tracking machine health. Besides preventive maintenance, the solution also provides a predictive maintenance technique, in which the system spots upcoming equipment failure, and hence maintenance can be proactively scheduled when it is needed, and not before.
1. Bearing conditions monitoring of a large motor
2. Tool conditions monitoring of a CNC machine
3. Anomaly (outlier) detection