A new non-linear framework for localization of acoustic sources

Das, Avik Kumar; Lai, Tsun Tat; Chan, Chi Wai; Leung, Christopher Kin Ying

doi:10.1177/1475921718762154

Cited by 29 publications

(15 citation statements)

References 25 publications

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“…However, due to the high nonlinearity of the hyperbolic equations, it is of great difficulty to find such an approximate solution with the highest probability. An iterative optimization technique has to be used to solve this problem [ 38 , 39 ]. This method starts with an initial guess, and the initial guess is iteratively corrected to find the final AE source coordinate.…”

Section: Theory Of the Proposed Methodsmentioning

confidence: 99%

A New Algebraic Solution for Acoustic Emission Source Localization without Premeasuring Wave Velocity

Zhou

Lan

Rui

et al. 2021

Sensors

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The technique of acoustic emission (AE) source localization is critical for studying material failure mechanism and predicting the position of potential hazards. Most existing positioning methods heavily depend on the premeasured wave velocity and are not suitable for complex engineering practices where the wave velocity changes dynamically. To reduce the influence of measurement error of wave velocity on location accuracy, this paper proposes a new algebraic solution for AE source localization without premeasuring wave velocity. In this method, the nonlinear TDOA equations are established and linearized by introducing two intermediate variables. Then, by minimizing the sum of squared residuals of the linear TDOA equations with respect to the AE source coordinate and two intermediate variables separately, the optimal algebraic solution of the AE source coordinate in the least squares sense is obtained. A pencil-lead breaks experiment is performed to validate the positioning effectiveness of the proposed method. The results show that the new method improves the positioning accuracy by more than 40% compared with two pre-existing methods, and the minimum positioning accuracy of the proposed method can reach 1.12 mm. Moreover, simulation tests are conducted to further verify the location performance of the proposed method under different TDOA errors and the number of sensors.

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Section: Theory Of the Proposed Methodsmentioning

confidence: 99%

A New Algebraic Solution for Acoustic Emission Source Localization without Premeasuring Wave Velocity

Zhou

Lan

Rui

et al. 2021

Sensors

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“…During four-point testing, AE waves generated during the crack formation were detected by AE sensors attached to the beam. For each detected AE wave, the TOA was calculated following the procedure described in section ''Methodology proposed'' and Sedlak's Method The framework described by Das et al 22 was then used for AE source localization. This particular method is adopted because the comparative results in the work by Das et al 22 showed that its source location accuracy is better than other commonly used source location frameworks such as Thurber's method, 25 Geiger's method, 26 constrained total least square (CTLS) minimization, 27 and US Bureau of Mines (USBM) method.…”

Section: Crack Source Localizationmentioning

confidence: 99%

A new power-based method to determine the first arrival information of an acoustic emission wave

Das

Leung

2018

Structural Health Monitoring

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Acoustic emission is a powerful experimental structural health monitoring technique for determining the location of cracks formed in a member. Pinpointing wave arrival time is essential for accurate source location. Conventional arrival detection technique’s accuracy deteriorates rapidly in low signal to noise ratio (5–40 dB) region, thus unsuitable for source location due to this inaccuracy. A new technique to pinpoint the arrival time based on the power of the wave is proposed. We have designed an adaptive filter based on the power characteristics of acoustic emission wave. After filtration of the acoustic emission wave, sliding window is employed to accurately identify the region of wave arrival based on the change in transmitted power. The results from various experimental and numerical arrival time detection experiments consistently show that the proposed methodology is stable and accurate for a wide range of signal to noise ratio values (5–100 dB). Particularly, in signal to noise ratio region (5–40 dB), the method is significantly more accurate as compared to the other methods described in the literature. The method was then employed to study the localized damage progression in a steel fiber–reinforced beam under four-point bending. The results suggest that calculated source location using the new method is consistent with that from visual inspection of the member at failure and more accurate than the localization results from existing method.

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“…In recent years, considerable efforts have been made to develop AE location methods without measuring wave velocity [31,32]. Das et al [33] proposed a positioning framework for unknown wave velocity systems which located the AE source by updating the spatial position and the average wave velocity separately. In this method, only the coordinates of the AE sensors and the arrival times need to be determined, and the wave velocity of the material is not needed.…”

Section: Introductionmentioning

confidence: 99%

A Weighted Linear Least Squares Location Method of an Acoustic Emission Source without Measuring Wave Velocity

Zhou

Rui

Cai

et al. 2020

Sensors

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The location of an acoustic emission (AE) source is crucial for predicting and controlling potential hazards. In this paper, a novel weighted linear least squares location method for AE sources without measuring wave velocity is proposed. First, the governing equations of each sensor are established according to the sensor coordinates and arrival times. Second, a mean reference equation is established by taking the mean of the squared governing equations. Third, the system of linear equations can be obtained based on the mean reference equation, and their residuals are estimated to obtain their weights. Finally, the AE source coordinate is obtained by weighting the linear equations and inserting the parameter constraint. The AE location method is verified by a pencil lead break experiment, and the results show that the locating accuracy of the proposed method is significantly higher than that of traditional methods. Furthermore, the simulation test proves that the proposed method also has a better performance (location accuracy and stability) than the traditional methods under any given scale of arrival errors.

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A new non-linear framework for localization of acoustic sources

Cited by 29 publications

References 25 publications

A New Algebraic Solution for Acoustic Emission Source Localization without Premeasuring Wave Velocity

A New Algebraic Solution for Acoustic Emission Source Localization without Premeasuring Wave Velocity

A new power-based method to determine the first arrival information of an acoustic emission wave

A Weighted Linear Least Squares Location Method of an Acoustic Emission Source without Measuring Wave Velocity

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