Methods and systems for operational surveillance of a physical asset using smart event detection

Abstract

Methods and systems are provided for monitoring a physical asset, which includes receiving or collecting time-series data related to operation or status of the physical asset; identifying a time period when the physical asset is experiencing a change in operational state; extracting time-series data corresponding to the time period as event data; generating label data that classifies or characterizes the event data as pertaining to a particular type of event; saving the event data and the corresponding label data in a data repository; and using the event data and label data stored in the data repository to train or update a machine learning system to detect the occurrence of events that are similar to the event types of the labeled event data stored in the data repository from time-series data generated by the physical asset or by another physical asset that operates in a similar manner to the physical asset.