Surveillance of industrial processes with correlated parameters
Abstract
A system and method for surveillance of an industrial process are disclosed. The system and method includes a plurality of sensors monitoring industrial process parameters, devices to convert the sensed data to computer compatible information and a computer which executes computer software directed to analyzing the sensor data to discern statistically reliable alarm conditions. The computer software is executed to remove serial correlation information and then calculate Mahalanobis distribution data to carry out a probability ratio test to determine alarm conditions. 10 figs.
- Inventors:
- Issue Date:
- Research Org.:
- Univ. of Chicago, IL (United States)
- OSTI Identifier:
- 415723
- Patent Number(s):
- 5586066
- Application Number:
- PAN: 8-255,586
- Assignee:
- Arch Development Corp., Chicago, IL (United States)
- DOE Contract Number:
- W-31109-ENG-38
- Resource Type:
- Patent
- Resource Relation:
- Other Information: PBD: 17 Dec 1996
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; ON-LINE MEASUREMENT SYSTEMS; DESIGN; INDUSTRIAL PLANTS; COMPUTER CALCULATIONS; PROCESS CONTROL; ALARM SYSTEMS
Citation Formats
White, A M, Gross, K C, Kubic, W L, and Wigeland, R A. Surveillance of industrial processes with correlated parameters. United States: N. p., 1996.
Web.
White, A M, Gross, K C, Kubic, W L, & Wigeland, R A. Surveillance of industrial processes with correlated parameters. United States.
White, A M, Gross, K C, Kubic, W L, and Wigeland, R A. Tue .
"Surveillance of industrial processes with correlated parameters". United States.
@article{osti_415723,
title = {Surveillance of industrial processes with correlated parameters},
author = {White, A M and Gross, K C and Kubic, W L and Wigeland, R A},
abstractNote = {A system and method for surveillance of an industrial process are disclosed. The system and method includes a plurality of sensors monitoring industrial process parameters, devices to convert the sensed data to computer compatible information and a computer which executes computer software directed to analyzing the sensor data to discern statistically reliable alarm conditions. The computer software is executed to remove serial correlation information and then calculate Mahalanobis distribution data to carry out a probability ratio test to determine alarm conditions. 10 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1996},
month = {12}
}
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