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

主权项

1. A method for predicting anomaly associated with at least one energy asset, the method comprising:
receiving, by a processor, time stamped historical energy data associated with the at least one energy asset; creating, by the processor, one or more frequency components by performing frequency domain analysis on the time stamped historical energy data, each of the one or more frequency components indicative of time stamped energy values associated with the at least one energy asset; clustering, by the processor, the one or more frequency components to generate one or more clusters based on similarity of time stamped energy values, each of the one or more clusters associated with at least one energy signature, the at least one energy signature being average of time stamped energy values for a cluster; receiving time stamped energy data in real time from the at least one energy asset; comparing, by the processor, between the time stamped energy data and the at least one energy signature associated with a cluster; identifying, by the processor, the cluster comprising outlier data based on the comparison to predict anomaly associated with the at least one energy asset.