Application of a new passive acoustic leak detection approach to recordings from the Dounreay prototype fast reactor

Marklund, Anders Riber; Michel, Frédéric

doi:10.1016/j.anucene.2015.05.010

Cited by 16 publications

(7 citation statements)

References 10 publications

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“…Regarding the minimum signal to noise ratio for detection, it has been shown that the 8 bar injection signals can be detected at conditions corresponding to an additive SNR of at least -10 dB. These results seem reasonable compared to the conclusions of [16], and [8] which were not based on realistic background noise and where the former work suffered from a lack of data preventing a credible false alarm rate estimation.…”

Section: Discussionsupporting

confidence: 65%

“…The first testing signal was a white Gaussian noise and the second one was a stationary signal with stochastic phase, created from a PSD of the background noise, using the same method as in [16]. The latter case is in some respect limiting, as it corresponds to detection of a stationary noise which has maximal resemblance to the background.…”

Section: Parameter Study On Synthetic Test Signalsmentioning

confidence: 99%

“…By this method it was found that SN R ∆ ≈ −1.1 dB for the 8 bar injections. The detection performance at lower SNRs was then investigated by superposing additional stationary background noise x bg,s onto the injection recording x raw , as was done also in a study on injection test recordings from the PFR [16] i.e.…”

Section: Detectable Snr Studiesmentioning

confidence: 99%

“…For detectors that have maximal area under the ROC curve, this measure can not be used to distinguish their performance. We therefore also use a min-max margin measure, similar to the one used in [16]. For discriminants d that are designed to decrease at the onset of detection, this measure is defined by…”

Section: Detector Performance Measuresmentioning

confidence: 99%

“…x(t 1 , ..., t 2 ) = x bg (t 1 , ..., t 2 ) + Cx test (16) where C is a constant factor and the testing sigal duration t 2 − t 1 was chosen to be 100 seconds. The first testing signal was a white Gaussian noise and the second one was a stationary signal with stochastic phase, created from a PSD of the background noise, using the same method as in [16].…”

Section: Parameter Study On Synthetic Test Signalsmentioning

confidence: 99%

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Demonstration of an improved passive acoustic fault detection method on recordings from the Phénix steam generator operating at full power

Marklund

Michel

Anglart

2017

Annals of Nuclear Energy

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Demonstration of an improved passive acoustic fault detection method on recordings from the Phénix steam generator operating at full power. Abstract A hidden Markov model method proposed earlier for passive acoustic leak detection in sodium fast reactor systems has been improved in order to clarify how to set all free model parameters and to allow smaller amounts of training data. The method is based on training the model on known background noise only and optimizing its free model parameters by a parametric study of detection performance for synthetic noises superposed onto the same background. This means that the method is not assuming any knowledge on the noise to be detected and may be used as a general fault detection method, even if the application envisaged here is leak detection for sodium fast reactors. Using recordings of background noise as well as from argon injection tests performed at full power in the Phénix sodium fast reactor plant, it is estimated that the resulting method will detect leak-like deviations from the background noise with a detection delay of a few seconds, a false alarm rate close to 10 −8 per second and at signal-to-noise ratio conditions at least corresponding to an additive signal at -10 dB. The method is one-channel, i.e. using input from one single acoustic sensor only. Annals of Nuclear Energy

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Section: Discussionsupporting

confidence: 65%

Section: Parameter Study On Synthetic Test Signalsmentioning

confidence: 99%

Section: Detectable Snr Studiesmentioning

confidence: 99%

Section: Detector Performance Measuresmentioning

confidence: 99%

Section: Parameter Study On Synthetic Test Signalsmentioning

confidence: 99%

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