Invention Grant
- Patent Title: Multi-class decision system for categorizing industrial asset attack and fault types
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Application No.: US15681827Application Date: 2017-08-21
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Publication No.: US10686806B2Publication Date: 2020-06-16
- Inventor: Masoud Abbaszadeh , Lalit Keshav Mestha , Weizhong Yan
- Applicant: General Electric Company
- Applicant Address: US NY Schenectady
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Schenectady
- Agency: Buckley Maschoff & Talwalkar LLC
- Main IPC: H04L29/06
- IPC: H04L29/06

Abstract:
According to some embodiments, a plurality of monitoring nodes may each generate a series of current monitoring node values over time that represent a current operation of the industrial asset. A node classifier computer, coupled to the plurality of monitoring nodes, may receive the series of current monitoring node values and generate a set of current feature vectors. The node classifier computer may also access at least one multi-class classifier model having at least one decision boundary. The at least one multi-class classifier model may be executed and the system may transmit a classification result based on the set of current feature vectors and the at least one decision boundary. The classification result may indicate, for example, whether a monitoring node status is normal, attacked, or faulty.
Public/Granted literature
- US20190058715A1 MULTI-CLASS DECISION SYSTEM FOR CATEGORIZING INDUSTRIAL ASSET ATTACK AND FAULT TYPES Public/Granted day:2019-02-21
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