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Title: Statistical Fault Detection & Diagnosis Expert System

Abstract

STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component has degraded.

Authors:
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
DOE/NE
OSTI Identifier:
1230375
Report Number(s):
STATMON; 001142MLTPL00
DOE Contract Number:
P
Resource Type:
Software
Software Revision:
00
Software Package Number:
001142
Software Package Contents:
Media Directory; Software Abstract; Media Includes Source Code;\ 1 3.5 Diskette
Software CPU:
MLTPL
Open Source:
No
Source Code Available:
Yes
Other Software Info:
All programming and operational features are fully documented with comment lines in STATMON''s C source code.
Related Software:
The First Class (R) expert system shell was used during development and validation.
Country of Publication:
United States

Citation Formats

Wegerich, Stephan. Statistical Fault Detection & Diagnosis Expert System. Computer software. Vers. 00. DOE/NE. 18 Dec. 1996. Web.
Wegerich, Stephan. (1996, December 18). Statistical Fault Detection & Diagnosis Expert System (Version 00) [Computer software].
Wegerich, Stephan. Statistical Fault Detection & Diagnosis Expert System. Computer software. Version 00. December 18, 1996.
@misc{osti_1230375,
title = {Statistical Fault Detection & Diagnosis Expert System, Version 00},
author = {Wegerich, Stephan},
abstractNote = {STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component has degraded.},
doi = {},
year = {Wed Dec 18 00:00:00 EST 1996},
month = {Wed Dec 18 00:00:00 EST 1996},
note =
}

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