Published 1986 | Version v1
Book Metadata-only

Heuristic learning parameter identification for surveillance and diagnostics of nuclear power plants

Creators

  • 1. Dept. of Nuclear Engineering, Univ. of Tennessee, Knoxville, TN

Description

An Artifical Intelligence Heuristic Learning Algorithm for System parameter identification has been developed. This algorithm has been applied to the on-line surveillance of a pressure loop, simulating the dynamics of pressure disturbances in a PWR plant

Additional details

Publishing Information

Publisher
University of Tennessee.
Imprint Place
Knoxville, TN (USA)
Imprint Title
Proceedings of power plant dynamics, control and testing symposium
Journal Page Range
p. 63.01-63.21.

Conference

Title
6. power plant dynamics, control and testing symposium.
Dates
14-16 Apr 1986.
Place
Knoxville, TN (USA).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
18014395
Subject category
S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; S22: GENERAL STUDIES OF NUCLEAR REACTORS; S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; ARTIFICIAL INTELLIGENCE; DISTURBANCES; NUCLEAR POWER PLANTS; ON-LINE CONTROL SYSTEMS; PRESSURE DEPENDENCE; PRESSURE VESSELS; PWR TYPE REACTORS; REACTOR CONTROL SYSTEMS; TRANSIENTS
Descriptors DEC
CONTAINERS; CONTROL SYSTEMS; ENRICHED URANIUM REACTORS; NUCLEAR FACILITIES; ON-LINE SYSTEMS; POWER PLANTS; POWER REACTORS; REACTORS; THERMAL POWER PLANTS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS