A universal, fault-tolerant, non-linear analytic network for modeling and fault detection
- Advanced Modeling Techniques Corp., Idaho Falls, ID (United States)
- Argonne National Lab., Idaho Falls, ID (United States)
The similarities and differences of a universal network to normal neural networks are outlined. The description and application of a universal network is discussed by showing how a simple linear system is modeled by normal techniques and by universal network techniques. A full implementation of the universal network as universal process modeling software on a dedicated computer system at EBR-II is described and example results are presented. It is concluded that the universal network provides different feature recognition capabilities than a neural network and that the universal network can provide extremely fast, accurate, and fault-tolerant estimation, validation, and replacement of signals in a real system.
- Research Organization:
- Argonne National Lab., Idaho Falls, ID (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 5418765
- Report Number(s):
- ANL/CP-75747; CONF-920538-14; ON: DE92011840
- Resource Relation:
- Conference: 8. power plant dynamics, control and testing symposium, Knoxville, TN (United States), 27-29 May 1992
- Country of Publication:
- United States
- Language:
- English
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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
EBR-2 REACTOR
COMPUTERIZED SIMULATION
REACTOR MONITORING SYSTEMS
COMPUTER NETWORKS
FAILED ELEMENT DETECTION
FAULT TOLERANT COMPUTERS
NEURAL NETWORKS
PROCESS CONTROL
REACTOR INSTRUMENTATION
SIGNALS
BREEDER REACTORS
COMPUTERS
CONTROL
DETECTION
DIGITAL COMPUTERS
EPITHERMAL REACTORS
EXPERIMENTAL REACTORS
FAST REACTORS
FBR TYPE REACTORS
LIQUID METAL COOLED REACTORS
LMFBR TYPE REACTORS
POWER REACTORS
REACTORS
RESEARCH AND TEST REACTORS
SIMULATION
SODIUM COOLED REACTORS
220400* - Nuclear Reactor Technology- Control Systems
210500 - Power Reactors
Breeding
990200 - Mathematics & Computers