Analysis of neutron noise spectra using neural networks
Conference
·
· Transactions of the American Nuclear Society; (United States)
OSTI ID:5778048
- Oak Ridge National Lab., TN (United States)
- Univ. of Tennessee, Knoxville (United States)
Neural network architectures based on backpropagation paradigm have been developed to recognize the features, and detect resonance shifts in, power spectral density (PSD) data. The goal is to advance the state of the art in the application of noise analysis techniques to monitor nuclear reactor internals. The initial objectives have been to use PSD data, acquired over a period of {approximately} 2 years by the power spectral density recognition system (PSDREC), to develop neural networks that are able to differentiate between neutron PSD data and anomalous spectral data (such as malfunctioning instrumentation) and detect significant shifts in the positions of spectral resonances while reducing the effect of small shifts (in neutron noise analysis, shifts in the resonance(s) present in a neutron PSD spectrum are the primary means for diagnosing degradation of reactor internals). Neural network systems referred to in this paper as spectral feature detectors (SFDs) and integral network filters (INFs) have been developed to meet these objectives. The performance of the SFDs is the subject of this paper.
- OSTI ID:
- 5778048
- Report Number(s):
- CONF-910603--
- Conference Information:
- Journal Name: Transactions of the American Nuclear Society; (United States) Journal Volume: 63
- Country of Publication:
- United States
- Language:
- English
Similar Records
Analysis of neutron noise spectra using neural networks
Investigation of Neural Network Paradigms for the Development of Automatic Noise Diagnostic/Reactor Surveillance Systems
Representation of neutron noise data using neural networks
Conference
·
Mon Dec 31 23:00:00 EST 1990
·
OSTI ID:5906494
Investigation of Neural Network Paradigms for the Development of Automatic Noise Diagnostic/Reactor Surveillance Systems
Conference
·
Sun May 19 00:00:00 EDT 1991
·
OSTI ID:6031687
Representation of neutron noise data using neural networks
Conference
·
Mon Jun 01 00:00:00 EDT 1992
·
OSTI ID:10143096
Related Subjects
22 GENERAL STUDIES OF NUCLEAR REACTORS
220100 -- Nuclear Reactor Technology-- Theory & Calculation
220400* -- Nuclear Reactor Technology-- Control Systems
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
DATA ACQUISITION SYSTEMS
DIAGNOSTIC TECHNIQUES
EXPERT SYSTEMS
FUNCTIONS
MONITORING
NATIONAL ORGANIZATIONS
NEURAL NETWORKS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
ORNL
POWER DENSITY
POWER PLANTS
REACTOR COMPONENTS
REACTOR INSTRUMENTATION
REACTOR INTERNALS
REACTOR MONITORING SYSTEMS
REACTOR NOISE
SIGNAL-TO-NOISE RATIO
SPECTRAL DENSITY
SPECTRAL FUNCTIONS
SURVEILLANCE
TESTING
THERMAL POWER PLANTS
US AEC
US DOE
US ERDA
US ORGANIZATIONS
VALIDATION
220100 -- Nuclear Reactor Technology-- Theory & Calculation
220400* -- Nuclear Reactor Technology-- Control Systems
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
DATA ACQUISITION SYSTEMS
DIAGNOSTIC TECHNIQUES
EXPERT SYSTEMS
FUNCTIONS
MONITORING
NATIONAL ORGANIZATIONS
NEURAL NETWORKS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
ORNL
POWER DENSITY
POWER PLANTS
REACTOR COMPONENTS
REACTOR INSTRUMENTATION
REACTOR INTERNALS
REACTOR MONITORING SYSTEMS
REACTOR NOISE
SIGNAL-TO-NOISE RATIO
SPECTRAL DENSITY
SPECTRAL FUNCTIONS
SURVEILLANCE
TESTING
THERMAL POWER PLANTS
US AEC
US DOE
US ERDA
US ORGANIZATIONS
VALIDATION