Situation awareness and dynamic ensemble forecasting of abnormal behavior in cyber-physical system

Patent · Tue Nov 03 04:00:00 EST 2020

OSTI ID:1771595

Abbaszadeh, Masoud; Mestha, Lalit Keshav

A plurality of monitoring nodes may each generate a time-series of current monitoring node values representing current operation of a cyber-physical system. A feature-based forecasting framework may receive the time-series of and generate a set of current feature vectors using feature discovery techniques. The feature behavior for each monitoring node may be characterized in the form of decision boundaries that separate normal and abnormal space based on operating data of the system. A set of ensemble state-space models may be constructed to represent feature evolution in the time-domain, wherein the forecasted outputs from the set of ensemble state-space models comprise anticipated time evolution of features. The framework may then obtain an overall features forecast through dynamic ensemble averaging and compare the overall features forecast to a threshold to generate an estimate associated with at least one feature vector crossing an associated decision boundary.

• Research Organization: General Electric Co., Schenectady, NY (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: OE0000833
• Assignee: General Electric Company (Schenectady, NY)
• Patent Number(s): 10,826,932
• Application Number: 16/108,742
• OSTI ID: 1771595
• Country of Publication: United States
• Language: English