Data analytics for predictive maintenance

Abstract

In some embodiments, systems and methods described herein are directed to predicting asset failure and classifying failure modes in an electrical distribution system. In some embodiments, the system receives meter data from one or more electrical meters and associates the meter data with an asset to create asset data. In some embodiments, an AI model comprises a failure prediction model that determines a probability of failure based on the asset data, and a failure mode classification model that determines a predicted root cause classification based on the asset data. In some embodiments, the failure mode classification model receives the probability of failure from the failure prediction model for determining the predicted root cause classification. In some embodiments, the asset comprises a transformer in the electrical distribution system.

Dependencies are inferred from the claim text.