online Surveillance of Industrial Processes with Correlated Parameters
Abstract
SMP is a system for online surveillance of industrial processes or machinery for determination of the incipience or onset of abnormal operating conditions. SMP exploits the cross correlation between all of the sensors that are available on the system under surveillance to provide an extremely high sensitivity for annunciation of subtle disturbances in process variables.
- Authors:
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- DOE/ER
- OSTI Identifier:
- 1230371
- Report Number(s):
- SMP SYSTEM; 001137MLTPL00
- DOE Contract Number:
- P
- Resource Type:
- Software
- Software Revision:
- 00
- Software Package Number:
- 001137
- Software Package Contents:
- Media Directory; Software Abstract; Media Includes Source Code;\ 1 CD-ROM
- Software CPU:
- MLTPL
- Open Source:
- No
- Source Code Available:
- Yes
- Country of Publication:
- United States
Citation Formats
Wegerich, Stephan. online Surveillance of Industrial Processes with Correlated Parameters.
Computer software. Vers. 00. DOE/ER. 18 Dec. 1996.
Web.
Wegerich, Stephan. (1996, December 18). online Surveillance of Industrial Processes with Correlated Parameters (Version 00) [Computer software].
Wegerich, Stephan. online Surveillance of Industrial Processes with Correlated Parameters.
Computer software. Version 00. December 18, 1996.
@misc{osti_1230371,
title = {online Surveillance of Industrial Processes with Correlated Parameters, Version 00},
author = {Wegerich, Stephan},
abstractNote = {SMP is a system for online surveillance of industrial processes or machinery for determination of the incipience or onset of abnormal operating conditions. SMP exploits the cross correlation between all of the sensors that are available on the system under surveillance to provide an extremely high sensitivity for annunciation of subtle disturbances in process variables.},
doi = {},
url = {https://www.osti.gov/biblio/1230371},
year = {Wed Dec 18 00:00:00 EST 1996},
month = {Wed Dec 18 00:00:00 EST 1996},
note =
}
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