SIGNAL VALIDATION BY COMBINING MODEL-BASED AND EVIDENTIAL REASONING APPROACHES

Award Information
Agency: Department of Energy
Branch: N/A
Contract: N/A
Agency Tracking Number: 7002
Amount: $49,950.00
Phase: Phase I
Program: SBIR
Awards Year: 1987
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1301 Shoreway Rd, Belmont, CA, 94002
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 DR BJORN FROGNER
 (415) 593-3200
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THIS PROJECT WILL MERGE METHODS DERIVED FROM ARTIFICIAL INTELLIGENCE TECHNOLOGY WITH CONVENTIONAL ANALYTIC REDUNDANCY METHODS, THE OBJECTIVE BEING TO OBTAIN IN REAL-TIME HIGHLY SENSITIVE AND COST-EFFECTIVE IDENTIFICATIONOF DEGRADATION IN POWERPLANT INSTRUMENTATION. THE RESEARCH WILL START WITH THE EXPERIENCE THAT IS AVAILABLE IN THE USE OF SIMULATION MODELS AND OBSERVERS/FILTERS TO ESTIMATE UNMEASURED STATES. STATISTICAL ANALYSIS OF THE RESIDUAL DIFFERENCE BETWEEN MEASURED AND PREDICTED VALUES WILL BE USED TO IDENTIFY ANOMALIES. THE WEAK LINK IN THE APPLICATION OF THESE METHODS IN THE PAST HAS BEEN THE CODIFICATION OF THE EXPERIENCE NEEDED TO INTERPRET THE RESULTS ACCURATELY AND AUTOMATICALLY. THE USE OF EVIDENTIALREASONING EMBEDDED INTO AN EXPERT SYSTEM WILL BE INVESTIGATED IN THIS PROJECT TO FACILITATE THE IMPLEMENTATION OF SUCH HEURISTICS.

* Information listed above is at the time of submission. *

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