Model-based phase velocity and attenuation estimation in wideband ultrasonic measurement systems

Martinsson, Jesper; Carlson, Johan E.; Niemi, Jan

doi:10.1109/tuffc.2007.219

Cited by 11 publications

(7 citation statements)

References 12 publications

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“…This paper extends the results of [7] by estimating the frequency dependent attenuation and phase velocity of the gas mixtures using a parametric technique [8], and then using PLSR to estimate the gas composition.…”

Section: A Introductionmentioning

confidence: 77%

“…1. The estimation procedure for determining H(ω) is described in detail in [8]. In addition to the estimate of H(ω), the identification procedure also yields an estimate of the covariance of the parameters of H(ω).…”

Section: B1 Attenuation and Phase Velocitymentioning

confidence: 99%

“…The phase velocity and attenuation for each gas composition are estimated using the parametric model in [8]. Along with these estimates we also obtain a covariance matrix for the parameters of H(ω).…”

Section: B3 Uncertainty Analysismentioning

confidence: 99%

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Measurement of methane Ccontent in upgraded biogas using pulse-echo ultrasound

Carlson¹,

Martinsson²,

Nordenvaad³

2007

Proceedings of the Interntional Congress on Ultrasonics

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In this paper we present an ultrasonic pulseecho technique for estimating the methane (CH 4 ) content in binary mixtures of CH 4 and carbon dioxide (CO 2 ). The method is based on parametric estimation of phase velocity and frequency dependent attenuation in combination with Partial Least-Squares Regression (PLSR). The technique is verified using experiments on mixtures with a volume fraction of CO 2 in the range of 0 % -10 %. The experiments show that the CH 4 content can be accurately estimated with high repeatability.

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Section: A Introductionmentioning

confidence: 77%

Section: B1 Attenuation and Phase Velocitymentioning

confidence: 99%

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Measurement of methane Ccontent in upgraded biogas using pulse-echo ultrasound

Carlson¹,

Martinsson²,

Nordenvaad³

2007

Proceedings of the Interntional Congress on Ultrasonics

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“…The additional terms are associated with the previously neglected effects (attenuation, dispersion, diffraction, misalignment). Using relatively high frequencies combined with a small sample space (smallñ 2 ), the diffraction/alignment ratio in (16) can be considered as independent of p and approximated as e…”

Section: Combining Hard and Soft Modelingmentioning

confidence: 99%

“…If these conditions are met, then e M 2 2 ¼ e B= e E e R 23 from (24), and the attenuation and the phase velocity related to the sample can be estimated [16] aŝ…”

Section: Estimating Acoustic Properties From Soft Modelsmentioning

confidence: 99%

Complete post-separation of overlapping ultrasonic signals by combining hard and soft modeling

2008

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In some ultrasonic measurement situations, an adequate signal separation is difficult to achieve. A typical situation is material characterization of thin media using pulse-echo or through-transmission techniques, when the time-of-flight in the media is shorter than the emitted signal's time support. Separated signals are necessary to obtain accurate estimates of material properties and transit times. In this paper a new method is proposed that enables complete post-separation of measured coinciding signals. The method is based on a combination of hard physical and soft empirical models, which allows for a description of both known and unknown properties making a complete separation possible. The validity and limitations of the model and the separation results are thoroughly addressed. The proposed technique is verified using real measurements on thin dispersive samples and validated using residual analysis. The experimental results show a complete separation with uncorrelated and normally distributed residuals. The method enables characterization and/or flow analysis in difficult overlapping situations.

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