A prototype acoustic gas sensor based on attenuation

Petculescu, Andi; Hall, Brian; Fraenzle, Robert; Phillips, Susan L.; Lueptow, Richard M.

doi:10.1121/1.2336758

Cited by 49 publications

(38 citation statements)

References 21 publications

(25 reference statements)

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“…Note the very strong absorption by CO 2 , although this peaks at a frequency an order of magnitude lower than that for ethylene (C 2 H 4 ). Curves extracted from Petculescu et al (2006) and Dain and Lueptow (2001): see also Ejakov et al (2003). Fig.…”

Section: Discussionmentioning

confidence: 99%

Silence on Shangri-La: Attenuation of Huygens acoustic signals suggests surface volatiles

Lorenz

Leese

Hathi

et al. 2014

Planetary and Space Science

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a b s t r a c tObjective: Characterize and understand acoustic instrument performance on the surface of Titan. Methods: The Huygens probe measured the speed of sound in Titan's atmosphere with a 1 MHz pulse time-of-flight transducer pair near the bottom of the vehicle. We examine the fraction of pulses correctly received as a function of time.Results: This system returned good data from about 11 km altitude, where the atmosphere became thick enough to effectively transmit the sound, down to the surface just before landing: these data have been analyzed previously. After an initial transient at landing, the instrument operated nominally for about 10 min, recording pulses much as during descent. The fraction of pulses detected then declined and the transmitted sound ceased to be detected altogether, despite no indication of instrument or probe configuration changes. Conclusions: The most likely explanation appears to be absorption of the signal by polyatomic gases with relaxation losses at the instrument frequency, such as ethane, acetylene and carbon dioxide. These vapors, detected independently by the GCMS instrument, were evolved from the surface material by the warmth leaking from the probe, and confirm the nature of the surface materials as 'damp' with a cocktail of volatile compounds. Some suggestions for future missions are considered. Practice implications: None.

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Section: Discussionmentioning

confidence: 99%

Silence on Shangri-La: Attenuation of Huygens acoustic signals suggests surface volatiles

Lorenz

Leese

Hathi

et al. 2014

Planetary and Space Science

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“…The focus in this paper is the prediction of acoustic properties over a range of altitudes based on the local atmospheric conditions (temperature, pressure, and gas composition) using a relatively recent quantitative, first-principles physical model that has been successful in predicting sound absorption in multi-component gas mixtures (Dain and Lueptow, 2001;Petculescu et al, 2006). Using molecular acoustics and atmospheric data, we calculate the vertical profiles of attenuation and sound speed for the four planets.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric acoustics of Titan, Mars, Venus, and Earth

Petculescu¹,

Lueptow²

2007

Icarus

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“…The peaks of GARAS curve, namely the largest sound absorption shown in Figure V, occur when the acoustic period is consistent with gas molecular relaxation time [10]. The number of peaks, especially for the gas mixtures consisting of different compositions, depends on the number of their molecular relaxation time.…”

Section: A the Four Sorts Of Garas Curvesmentioning

confidence: 99%

“…EXPERIMENTAL DATA the experimental data from [10] (circles and squares), the GARAS curves calculated from Dain's theory [2,3] (the dash lines) and our previous work [11,12] (the solid lines). The experimental data shows the gas acoustic relaxation absorption coefficient varying with frequency, and it can be represented by GARAS curves obtained from several acoustic absorption theories as shown in Figure 1.…”

Section: Garas From Theoretical Models Andmentioning

confidence: 99%

Gas Composition Recognition Based on Analyzing Acoustic Relaxation Absorption Spectra: Wavelet Decomposition and Support Vector Machine Classifier

Jia¹,

Yu²,

Du³

et al. 2018

Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

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Abstract-Gas acoustic spectrum represents properties of acoustic propagation, which can distinguish gas compositions. However in few existing methods of gas-composition-unknown recognition, the approaches of programmatically processing the acoustic spectrum curves have not yet been presented. We propose a method for gas-composition-unknown recognition by analyzing gas acoustic relaxation absorption spectrum (GARAS) based on wavelet multi-resolution analysis (MRA) and multi-class support vector machine (SVM). Features of GARAS are extracted by wavelet MRA, and then selected to obtain a few feature coefficients which are utilized to train and test multi-class SVM. Simulation results show that the proposed method completely classifies four examples of gas mixtures, and that it recognizes the mixtures with the same and similar concentration or temperature. This method realizes the numerically extracting and programmatically processing the information of GARAS, and implements gas-composition-unknown sensing based on acoustic spectrums.

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A prototype acoustic gas sensor based on attenuation

Cited by 49 publications

References 21 publications

Silence on Shangri-La: Attenuation of Huygens acoustic signals suggests surface volatiles

Silence on Shangri-La: Attenuation of Huygens acoustic signals suggests surface volatiles

Atmospheric acoustics of Titan, Mars, Venus, and Earth

Gas Composition Recognition Based on Analyzing Acoustic Relaxation Absorption Spectra: Wavelet Decomposition and Support Vector Machine Classifier

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