Local and global decision fusion for cyber-physical system abnormality detection
Abstract
Monitoring nodes may generate a series of current monitoring node values over time representing current operation of a cyber-physical system. A decision fusion computer platform may receive, from a local status determination module, an indication of whether each node has an initial local status of “normal”/“abnormal” and a local certainty score (with higher values of the local certainty score representing greater likelihood of abnormality). The computer platform may also receive, from a global status determination module, an indication of whether the system has an initial global status of “normal”/“abnormal” and a global certainty score. The computer platform may output, for each node, a fused local status of “normal” or “abnormal,” at least one fused local status being based on the initial global status. The decision fusion computer platform may also output a fused global status of “normal” or “abnormal” based on at least one initial local status.
- Inventors:
- Issue Date:
- Research Org.:
- General Electric Co., Schenectady, NY (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1823899
- Patent Number(s):
- 10990668
- Application Number:
- 16/132,705
- Assignee:
- General Electric Technology GmbH (Schenectady, NY)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- DOE Contract Number:
- OE0000833
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 09/17/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Abbaszadeh, Masoud, Yund, Walter, and Yan, Weizhong. Local and global decision fusion for cyber-physical system abnormality detection. United States: N. p., 2021.
Web.
Abbaszadeh, Masoud, Yund, Walter, & Yan, Weizhong. Local and global decision fusion for cyber-physical system abnormality detection. United States.
Abbaszadeh, Masoud, Yund, Walter, and Yan, Weizhong. Tue .
"Local and global decision fusion for cyber-physical system abnormality detection". United States. https://www.osti.gov/servlets/purl/1823899.
@article{osti_1823899,
title = {Local and global decision fusion for cyber-physical system abnormality detection},
author = {Abbaszadeh, Masoud and Yund, Walter and Yan, Weizhong},
abstractNote = {Monitoring nodes may generate a series of current monitoring node values over time representing current operation of a cyber-physical system. A decision fusion computer platform may receive, from a local status determination module, an indication of whether each node has an initial local status of “normal”/“abnormal” and a local certainty score (with higher values of the local certainty score representing greater likelihood of abnormality). The computer platform may also receive, from a global status determination module, an indication of whether the system has an initial global status of “normal”/“abnormal” and a global certainty score. The computer platform may output, for each node, a fused local status of “normal” or “abnormal,” at least one fused local status being based on the initial global status. The decision fusion computer platform may also output a fused global status of “normal” or “abnormal” based on at least one initial local status.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {4}
}
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