Abstract:For acoustic procedures which rely on the speed of sound to derive process parameters, the determination of the acoustic time of flight is essential. In this work, a method for the determination of the time of flight (TOF) is presented. It is intended for reverberant and noisy environments and can be applied in the gas holdup determination in bubbly liquids via acoustic transmission tomography (GHATT) for example. The method includes the selection and design of the transmitted signal to optimize the disambigua… Show more
“…Die ortsaufgelöste Erfassung und Beschreibung dieser Größe ist Gegenstand aktueller Forschung. Neueste Ansätze von Elfering et al [1][2][3] forcieren die Entwicklung von Sensorsystemen zur Bestimmung des Gasgehalts in Suspensionen mittels akustischer Transmissionstomographie (GHATT). GHATT nutzt die Abhängigkeit der Schallgeschwindigkeit 𝑐𝑐 𝑚𝑚 niederfrequenter Signale vom volumetrischen Gasgehalt 𝜀𝜀 (Abb.…”
“…Die ortsaufgelöste Erfassung und Beschreibung dieser Größe ist Gegenstand aktueller Forschung. Neueste Ansätze von Elfering et al [1][2][3] forcieren die Entwicklung von Sensorsystemen zur Bestimmung des Gasgehalts in Suspensionen mittels akustischer Transmissionstomographie (GHATT). GHATT nutzt die Abhängigkeit der Schallgeschwindigkeit 𝑐𝑐 𝑚𝑚 niederfrequenter Signale vom volumetrischen Gasgehalt 𝜀𝜀 (Abb.…”
In ultrasonic testing, material and structural properties of a specimen can be derived from the time-of-flight (ToF). Using signal features, such as the first peak or envelope maximum, to calculate the ToF is error-prone in multipath arrangements or dispersive and attenuating materials, which is not the case for the signal onset. Borrowing from seismology, researchers used the Akaike information criterion (AIC) picker to automatically determine onset times. The most commonly used formulation, Maeda's AIC picker, is reassessed and found to be based on inappropriate assumptions for signals often used in ultrasonic testing and dependent on arbitrary parameters. Consequently, an onset picker for ultrasonic through-transmission measurements is proposed, based on a spectral entropy criterion (SEC) to model the signal using the AIC framework. This SEC picker takes into account the spectral properties of the ultrasonic signal and is virtually free of arbitrary parameters. Synthetic and experimental data are used to compare the performance of SEC and AIC pickers. It is shown that the accuracy of onset picking is improved for densely sampled data.
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