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Title: Nuclear power plant status diagnostics using a neural network with dynamic node architecture

Thesis/Dissertation ·
DOI:https://doi.org/10.2172/10139977· OSTI ID:10139977
 [1]
  1. Iowa State Univ., Ames, IA (United States)

This thesis is part of an ongoing project at Iowa State University to develop ANN based fault diagnostic systems to detect and classify operational transients at nuclear power plants. The project envisages the deployment of such an advisor at Iowa Electric Light and Power Company`s Duane Arnold Energy Center nuclear power plant located at Palo, IA. This advisor is expected to make status diagnosis in real time, thus providing the operators with more time for corrective measures.

Research Organization:
Iowa State Univ., Ames, IA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
FG02-92ER75700
OSTI ID:
10139977
Report Number(s):
DOE/ER/75700-T2; ON: DE93010303
Resource Relation:
Other Information: TH: Thesis (M.S.); PBD: 1992
Country of Publication:
United States
Language:
English