Methods and systems for predicting erroneous behavior of an energy asset using fourier based clustering technique

摘要

This disclosure relates generally to predicting health of an energy asset, and more particularly to methods and systems for predicting erroneous behavior of an energy asset using fourier based clustering technique. In one embodiment, a method for determining predicting erroneous behavior of an energy asset is disclosed. The method includes creating one or more energy signatures by performing frequency domain analysis on historical energy data and subsequent clustering of the energy signatures. Further, live energy data is filtered to generate filtered outputs wherein each of the filtered outputs is mapped to a respective cluster. The outlier cluster is identified to predict the erroneous behavior of the energy asset.