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Development and comparison of spectral methods for passive acoustic anomaly detection in nuclear power plants
KTH, School of Engineering Sciences (SCI), Physics, Reactor Technology.ORCID iD: 0000-0003-1358-9355
KTH, School of Engineering Sciences (SCI), Physics, Reactor Technology.ORCID iD: 0000-0002-7943-7517
2014 (English)In: Applied Acoustics, ISSN 0003-682X, E-ISSN 1872-910X, Vol. 83, 100-107 p.Article in journal (Refereed) Published
Abstract [en]

We have developed spectral signal processing methods for passive acoustic anomaly detection in nuclear power plants. Furthermore, we compared the developed and existing methods by applying them to stationary sounds recorded in a controlled environment. Our new methods show significant improvement, in particular concerning robustness against false alarms. The results also demonstrate that clear detection of a given sound at a given signal-to-noise ratio is highly dependent on the distribution of characteristic frequency content in the spectrum in relation to the background noise and the spectral uncertainty. Since the frequency monitoring principle used here is quite rigid, we stress the need for research on more flexible methods, also taking into account differences between experiments and real reactor systems.

Place, publisher, year, edition, pages
2014. Vol. 83, 100-107 p.
Keyword [en]
Acoustic anomaly detection, Sodium fast reactor, Signal processing
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Identifiers
URN: urn:nbn:se:kth:diva-148338DOI: 10.1016/j.apacoust.2014.03.014ISI: 000337645900011Scopus ID: 2-s2.0-84899010916OAI: oai:DiVA.org:kth-148338DiVA: diva2:736250
Note

QC 20140805

Available from: 2014-08-05 Created: 2014-08-05 Last updated: 2017-12-05Bibliographically approved

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Riber Marklund, AndersDufek, Jan

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