skip to main content
DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Neuro-parity pattern recognition system and method

Abstract

A method and system for monitoring a process and determining its condition. Initial data is sensed, a first set of virtual data is produced by applying a system state analyzation to the initial data, a second set of virtual data is produced by applying a neural network analyzation to the initial data and a parity space analyzation is applied to the first and second set of virtual data and also to the initial data to provide a parity space decision about the condition of the process. A logic test can further be applied to produce a further system decision about the state of the process.

Inventors:
 [1];  [2];  [3];  [4];  [5]
  1. Bolingbrook, IL
  2. Naperville, IL
  3. Lecanto, FL
  4. Glendale Heights, IL
  5. Chicago, IL
Issue Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
OSTI Identifier:
873245
Patent Number(s):
6119111
Assignee:
ARCH Development Corporation (Chicago, IL)
Patent Classifications (CPCs):
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
G - PHYSICS G21 - NUCLEAR PHYSICS G21D - NUCLEAR POWER PLANT
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
neuro-parity; pattern; recognition; method; monitoring; process; determining; condition; initial; data; sensed; set; virtual; produced; applying; analyzation; neural; network; parity; space; applied; provide; decision; logic; produce; pattern recognition; neural network; initial data; neural net; /706/

Citation Formats

Gross, Kenneth C, Singer, Ralph M, Van Alstine, Rollin G, Wegerich, Stephan W, and Yue, Yong. Neuro-parity pattern recognition system and method. United States: N. p., 2000. Web.
Gross, Kenneth C, Singer, Ralph M, Van Alstine, Rollin G, Wegerich, Stephan W, & Yue, Yong. Neuro-parity pattern recognition system and method. United States.
Gross, Kenneth C, Singer, Ralph M, Van Alstine, Rollin G, Wegerich, Stephan W, and Yue, Yong. Sat . "Neuro-parity pattern recognition system and method". United States. https://www.osti.gov/servlets/purl/873245.
@article{osti_873245,
title = {Neuro-parity pattern recognition system and method},
author = {Gross, Kenneth C and Singer, Ralph M and Van Alstine, Rollin G and Wegerich, Stephan W and Yue, Yong},
abstractNote = {A method and system for monitoring a process and determining its condition. Initial data is sensed, a first set of virtual data is produced by applying a system state analyzation to the initial data, a second set of virtual data is produced by applying a neural network analyzation to the initial data and a parity space analyzation is applied to the first and second set of virtual data and also to the initial data to provide a parity space decision about the condition of the process. A logic test can further be applied to produce a further system decision about the state of the process.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {1}
}

Patent:

Save / Share:

Works referenced in this record:

Detection and isolation of sensor faults on nonlinear processes based on local linear models
conference, January 1997

  • Belle, P.; Fussel, D.; Hecker, O.
  • Proceedings of 16th American CONTROL Conference, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041)
  • https://doi.org/10.1109/ACC.1997.611843

A generalized Shiryayev sequential probability ratio test for change detection and isolation
journal, January 1999


Combining neuro-fuzzy and machine learning for fault diagnosis of a DC motor
conference, January 1997