Extrema-preserved ensemble averaging for ml anomaly detection

Abstract

Systems, methods, and other embodiments associated with associated with preserving signal extrema for ML model training when ensemble averaging time series signals for ML anomaly detection are described. In one embodiment, a method includes identifying locations and values of extrema in a training signal; ensemble averaging the training signal to produce an averaged training signal; placing the values of the extrema into the averaged training signal at respective locations of the extrema to produce an extrema-preserved averaged training signal; placing the values of the extrema into the averaged training signal at respective locations of the extrema to produce an extrema-preserved averaged training signal; and training a machine learning model using the extrema-preserved averaged training signal to detect anomalies in a signal.