VROC trained a Time to Failure AI model to learn the patterns and other parameters that lead to the clogging event, so that it can predict in advance the events, and disruptions can be avoided.
The model was trained on the last few months of historical data where the filter was frequently clogged, and the model was put into production at the end of July 2022. Previously the team had no lead time to clogging events. The initial goal was to predict the events 24 hours in advance.
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