Multi-dimensional process hypercube for signal validation

Technical Report · Sat Jul 01 04:00:00 EDT 1989

OSTI ID:5863370

Holbert, K E; Upadhyaya, B R

The optimal control and safe operation of a nuclear power plant requires reliable information concerning the state of the process. Signal validation is the detection, isolation and characterization of faulty signals. Properly validated process signals are beneficial from the standpoint of increased plant availability and reliability of operator actions. A signal validation technique utilizing a process hypercube comparison (PHC) was developed during this research. The hypercube is a multi-dimensional joint histogram of the process conditions. The hypercube is created off-line during a learning phase. In the event that a newly observed plant state does not match with those in the learned hypercube, the PHC algorithm performs signal validation by progressively hypothesizing that one or more signals is in error. This assumption is then either substantiated or denied. In the case where many signals are found to be in error, a conclusion that the process conditions are abnormal is reached. The hypercube signal validation methodology was tested using operational data from both a commercial pressurized water reactor (PWR) and the Experimental Breeder Reactor II (EBR-II). 11 refs., 26 figs., 3 tabs.

• Research Organization: Tennessee Univ., Knoxville, TN (USA). Dept. of Nuclear Engineering
• DOE Contract Number: AC02-86NE37959
• OSTI ID: 5863370
• Report Number(s): DOE/NE/37959-33; ON: DE89016239
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
220400* -- Nuclear Reactor Technology-- Control Systems
ALGORITHMS
CONTROL SYSTEMS
INFORMATION VALIDATION
MATHEMATICAL LOGIC
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
RELIABILITY
TESTING
THERMAL POWER PLANTS
VALIDATION