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

Technical Report · Wed Jan 01 00:00:00 EST 1992

DOI:https://doi.org/10.2172/6649091· OSTI ID:6649091

Basu, A

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. of Science and Technology, Ames, IA (United States)
• Sponsoring Organization: USDOE; USDOE, Washington, DC (United States)
• DOE Contract Number: FG02-92ER75700
• OSTI ID: 6649091
• Report Number(s): DOE/ER/75700-T2; ON: DE93010303
• Resource Relation: Other Information: Thesis (M.S.)
• Country of Publication: United States
• Language: English

Related Subjects

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