Nuclear power plant status diagnostics using a neural network with dynamic node architecture
Abstract
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.
- Authors:
- Publication Date:
- Research Org.:
- Iowa State Univ. of Science and Technology, Ames, IA (United States)
- Sponsoring Org.:
- USDOE; USDOE, Washington, DC (United States)
- OSTI Identifier:
- 6649091
- Report Number(s):
- DOE/ER/75700-T2
ON: DE93010303
- DOE Contract Number:
- FG02-92ER75700
- Resource Type:
- Technical Report
- Resource Relation:
- Other Information: Thesis (M.S.)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 22 GENERAL STUDIES OF NUCLEAR REACTORS; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; NUCLEAR POWER PLANTS; DIAGNOSTIC TECHNIQUES; REACTOR CONTROL SYSTEMS; B CODES; D CODES; NEURAL NETWORKS; REACTOR OPERATION; REACTOR OPERATORS; T CODES; TRANSIENTS; ANIMALS; COMPUTER CODES; CONTROL SYSTEMS; MAMMALS; MAN; NUCLEAR FACILITIES; OPERATION; PERSONNEL; POWER PLANTS; PRIMATES; THERMAL POWER PLANTS; VERTEBRATES; 220400* - Nuclear Reactor Technology- Control Systems; 990200 - Mathematics & Computers
Citation Formats
Basu, A. Nuclear power plant status diagnostics using a neural network with dynamic node architecture. United States: N. p., 1992.
Web. doi:10.2172/6649091.
Basu, A. Nuclear power plant status diagnostics using a neural network with dynamic node architecture. United States. https://doi.org/10.2172/6649091
Basu, A. 1992.
"Nuclear power plant status diagnostics using a neural network with dynamic node architecture". United States. https://doi.org/10.2172/6649091. https://www.osti.gov/servlets/purl/6649091.
@article{osti_6649091,
title = {Nuclear power plant status diagnostics using a neural network with dynamic node architecture},
author = {Basu, A},
abstractNote = {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.},
doi = {10.2172/6649091},
url = {https://www.osti.gov/biblio/6649091},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 EST 1992},
month = {Wed Jan 01 00:00:00 EST 1992}
}
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