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{AR} models and Time-Frequency analysis for characterization and acoustic detection of water leak in sodium

Abstract : In this paper, we show the advantage of using the acoustic signals detection approach for detecting pressurized water leakage in the liquid sodium. On the one hand, contribution of the time-frequency analysis for the characterization of the process has been illustrated on data from experimental tests. On the other hand, the study of the performances of autoregressive models has demonstrated a significant reduction in detection delay when using acoustic approach versus commonly used detections techniques such as hydrogen detection.
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https://hal-utt.archives-ouvertes.fr/hal-02515954
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Monday, March 23, 2020 - 5:02:03 PM
Last modification on : Friday, July 17, 2020 - 2:59:04 PM

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  • HAL Id : hal-02515954, version 1

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Abdelkhalek Bouchikhi, Pierre Beauseroy, Igor Nikiforov, Edith Grall-Maës, Francois Baque, et al.. {AR} models and Time-Frequency analysis for characterization and acoustic detection of water leak in sodium. WESPAC 2015, Dec 2015, Singapore, Singapore. ⟨hal-02515954⟩

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