Application of an improved multivariable noise analysis method to investigation of PWR noise; signal transmission path analysis

Abstract A method for multivariable noise analysis called “STP (Signal Transmission Path) analysis” is presented as a unified tool for noise source identification, signal's causality analysis, detection of feedback and so forth. In this paper, we first make a brief review of various noise analysis methods used for these purposes. Then we present the method of the STP analysis together with analysis procedure on the basis of multivariable autoregressive modeling technique. The STP analysis was applied to neutronic and process noise signals measured during a steady state full power operation in the Borssele PWR. The result demonstrates its potential of yielding new and/or more detailed information on the noise generation and propagation mechanisms, especially from the following findings: • - The driving sources of the core barrel motion was further separated into two effects; one due to the primary loop pump vibrations and the other to the flow induced core barrel motion taking place in the vessel. • - Source of typical neutron spectral peak at 9.2 Hz is pressure fluctuations in the primary loops. The result of the present study suggests effectiveness and usefulness of the STP analysis not only as a noise analysis technique but also as a tool for reactor diagnosis.

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