Fast Reactors and Accelerator Driven Systems Knowledge Base

Conference Article: A comparison of some generic strategies for fault detection in liquid metal fast breeder reactors

Abstract

Data from the 1994 and 1995 benchmark tests were used to compare the performance of seven different signal processing strategies proposed for the detection of boiling or a sodium/water reaction in LMFBR. The general signal processing strategy relies on the signals from the normal background noise and the fault being additive, which gives rise to changes in the signal model in the time, frequency or probability domain. Two of the specific signal processing strategies are derived from an autoregressive model of the process, whilst the rest are implemented in the frequency domain using either global spectral distance measures or more particular spectral measures used in conjunction with wavelet analysis. The emphasis throughout the work reported in this report has been to make no assumptions about the nature of the fault to be detected other than the principle of the additive nature of the signals from a fault and the background noise.

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Reference:

Acoustic signal processing for the detection of sodium boiling or sodium-water reaction in LMFRs. Final report of a co-ordinated research programme 1990-1995

International Atomic Energy Agency, Vienna (Austria)

IAEA-TECDOC--946, pp:99-115