On the neutron noise diagnostics of pressurized water reactor control rod vibrations. 4: Application of neural networks

Journal Article · Sun Sep 01 04:00:00 EDT 1996 · Nuclear Science and Engineering

OSTI ID:379813

Pazsit, I; Garis, N S ^[1]; Gloeckler, O ^[2]

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1. Chalmers Univ. of Technology, Goeteborg (Sweden). Dept. of Reactor Physics
2. Ontario Hydro Nuclear, Toronto, Ontario (Canada)

A neutron noise-based technique for the localization of excessively vibrating control rods is elaborated upon in the previous three papers of this series. The method is based on the inversion of a formula that expresses the auto- and cross spectra of three neutron detector signals through the parameters of the vibrating rod, i.e., equilibrium position and displacement components. Successful tests of the algorithm with both simulated and real data were reported in the previous papers. The algorithm had nevertheless certain drawbacks, namely, that its use requires expert knowledge, the redundancy of extra detectors cannot be utilized, and with realistic transfer functions the calculations are rather lengthy. The use of neural networks offers an alternative way of performing the inversion procedure. This possibility was investigated by constructing a network that was trained to determine the rod position from the detector spectra. It was found that all shortcomings of the traditional localization method can be eliminated. The neural network-based identification was also tested with success.

• OSTI ID: 379813
• Journal Information: Nuclear Science and Engineering, Journal Name: Nuclear Science and Engineering Journal Issue: 1 Vol. 124; ISSN NSENAO; ISSN 0029-5639
• Country of Publication: United States
• Language: English

Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
22 GENERAL STUDIES OF NUCLEAR REACTORS
CONTROL ELEMENTS
DIAGNOSTIC TECHNIQUES
MECHANICAL VIBRATIONS
MONITORING
NEURAL NETWORKS
PWR TYPE REACTORS
REACTOR INSTRUMENTATION
REACTOR MONITORING SYSTEMS