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The Singapore SME was incorporated in 2018, is a technology provider specialising in developing artificial intelligence (AI) technologies. The SME’s vision is to deliver smart operations for businesses and a wide range of intelligent sensors and products empowered by AI.
This system is an AI based real-time classification and inference system to detect various machine operating conditions based on trained vibration patterns. The goal of this condition-based maintenance is to spot upcoming equipment failure, so that the maintenance can be proactively scheduled when it is needed. This monitoring system also extends the time between maintenance shutdowns, because maintenance is done on an as-needed basis. As a result, it has the potential to decrease maintenance costs and prevent downtime for production.
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 Graphics Processing Unit (GPU) and incorporates a condition monitoring system and a low power edge-based AI.
This solution supports common types of condition-based monitoring include 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 where the system spots any upcoming equipment failures. Maintenance can hence be proactively scheduled when it is needed, and not before.
The Singapore SME seeks partnerships with MNEs or SMEs of all sizes in the form of a licensing agreement where the partner could license the technology and further develop it to introduce to its customer or market segments.
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