{AR} models and Time-Frequency analysis for characterization and acoustic detection of water leak in sodium - Archive ouverte HAL Access content directly
Conference Papers Year :

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

(1) , (2) , (2) , (2) , (3) , (2)
1
2
3

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.
Not file

Dates and versions

hal-02515954 , version 1 (23-03-2020)

Identifiers

  • HAL Id : hal-02515954 , version 1

Cite

Abdelkhalek Bouchikhi, Pierre Beauseroy, Igor V. 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⟩
53 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More