One of the most challenging aspects of industrial AI is often the lack of sufficient training data to build good quality predictive maintenance AI models. RMC AI4AI center provides two solutions to this problem.
First, AI4AI center can build an AI model using accelerated aging data or physics model of an equipment or component. To make these models more accurate, RMC adapts these models to customer’s environment by using its Newness technology.
Second, in scenarios where an industrial customer can neither acquire simulation or aging data for an equipment nor has sufficient failure history for it, AI4AI center will initially build anomaly model to monitor the health of the equipment. It will further facilitate the collection of the user feedback and CMMS data that leads to the creation of good quality training data for predictive maintenance models over time, enabling gradual transition from anomaly to predictive maintenance.