US Patent 11055319 Data-driven features via signal clustering

A method is described of identifying time-series signals that contain information useful for predicting impending event messages relating to one or more of safety, maintenance, and system operation information before they occur. The method includes loading a plurality of time-series signals with assigned signal name and associated time-series data into a machine-readable storage medium and grouping the plurality of time-series signals based on textual similarity of the corresponding signal names into a signal cluster.