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Passive acoustic leak detection for sodium cooled fast reactors using hidden Markov models
KTH, School of Engineering Sciences (SCI), Physics, Reactor Technology.ORCID iD: 0000-0003-1358-9355
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2015 (English)In: 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications, ANIMMA 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 7465560Conference paper (Refereed)
Abstract [en]

Acoustic leak detection for steam generators of sodium fast reactors have been an active research topic since the early 1970s and several methods have been tested over the years. Inspired by its success in the field of automatic speech recognition, we here apply hidden Markov models (HMM) in combination with Gaussian mixture models (GMM) to the problem. To achieve this, we propose a new feature calculation scheme, based on the temporal evolution of the power spectral density (PSD) of the signal. Using acoustic signals recorded during steam/water injection experiments done at the Indira Gandhi Centre for Atomic Research (IGCAR), the proposed method is tested. We perform parametric studies on the HMM+GMM model size and demonstrate that the proposed method a) performs well without a priori knowledge of injection noise, b) can incorporate several noise models and c) has an output distribution that simplifies false alarm rate control.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 7465560
Keyword [en]
Acoustic noise, Fast reactors, Leak detection, Markov processes, Nuclear instrumentation, Power spectral density, Signal detection, Sodium, Spectral density, Speech recognition, Steam generators, Trellis codes, Acoustic leak detections, Automatic speech recognition, Calculation scheme, Gaussian Mixture Model, Output distribution, Power spectral densities (PSD), Sodium cooled fast reactor, Sodium fast reactors
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-195029DOI: 10.1109/ANIMMA.2015.7465560ISI: 000379928300005ScopusID: 2-s2.0-84974529365ISBN: 9781479999187OAI: oai:DiVA.org:kth-195029DiVA: diva2:1048795
Conference
4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications, ANIMMA 2015, Lisbon, Portugal, 20 April 2015 through 24 April 2015
Note

QC 20161122

Available from: 2016-11-22 Created: 2016-11-01 Last updated: 2016-11-22Bibliographically approved

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Marklund, Anders Riber
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