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Title: Neuro-parity pattern recognition system and method

Patent ·
OSTI ID:873245
 [1];  [2];  [3];  [4];  [5]
  1. Bolingbrook, IL
  2. Naperville, IL
  3. Lecanto, FL
  4. Glendale Heights, IL
  5. Chicago, IL
+ Show Author Affiliations

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.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
DOE Contract Number:
W-31109-ENG-38
Assignee:
ARCH Development Corporation (Chicago, IL)
Patent Number(s):
US 6119111
OSTI ID:
873245
Country of Publication:
United States
Language:
English

References (4)

Detection and isolation of sensor faults on nonlinear processes based on local linear models
  • 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
conference January 1997
Thermal power prediction of nuclear power plant using neural network and parity space model journal April 1991
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

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Related Subjects

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
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