Lamb wave inspection for composite laminates using a combined method of sparse reconstruction and delay-and-sum

Xu, Caibin; Yang, Zhibo; Tian, Shu; Chen, Xuefeng

doi:10.1016/j.compstruct.2019.110973

Cited by 42 publications

(25 citation statements)

References 34 publications

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“…Other signal processing techniques [32,33] can be used for higher localization resolution. In this application, however, high accuracy is not essential, given the notable size of the blockage.…”

Section: Resultsmentioning

confidence: 99%

Magnetostrictive Sensor for Blockage Detection in Pipes Subjected to High Temperatures

Pernía

Mayor

Prieto

et al. 2019

Sensors

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The use of solar thermal power plants is considered a cost-effective alternative to produce renewable energy. Unlike other energy installations, in this type of plants the transfer and storage of energy has been solved by using molten salts. These salts run between two tanks through the steam generation system that feeds the turbine. Although the use of salts as a heat transfer fluid is considered an adequate solution, they are not without problems. One of them is the formation of blockages in the pipes due to a partial solidification of the salt, which leads to the shutdown of the installation, with the consequent economic losses. Fast location of these blockages in a minimally intrusive way is the objective pursued in this work. The method to achieve this is based on the use of a new magnetostrictive sensor that simplifies previous designs.

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Section: Resultsmentioning

confidence: 99%

Magnetostrictive Sensor for Blockage Detection in Pipes Subjected to High Temperatures

Pernía

Mayor

Prieto

et al. 2019

Sensors

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“…The fourth step refers to calculating the probability of damage according to Formula (7). The fifth step is to scan the next node and Step 3-Step 4.…”

Section: Principle Of Lamb Wave Tomographymentioning

confidence: 99%

“…An increasing number of methods for time-of-flight (TOF) calculation have been well developed as a variety of researchers have adopted TOF techniques to determine the exact location of damage in composite plates. For instance, Xu [7] proposed a method which integrated sparse reconstruction with delay-and-sum (DAS) for the inspection of high-resolution Lamb wave, and the method of DAS imaging and characteristic signal were also combined with each other so that it can be applied to the damage imaging of CFRP. Zhang [8] obtained damage imaging of composite structures by applying the algorithm of Lamb wave probabilistic imaging.…”

Section: Introductionmentioning

confidence: 99%

Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

Jiang

Liang

et al. 2020

Materials

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In order to deal with the problem of composite damage location, an imaging technique based on differential signal and Lamb wave tomography was proposed. Firstly, the feasibility of the technique put forward was verified by simulation. In this process, the composite model was regularly set down by the circular sensor array, with each sensor acting as an actuator in sequence to generate Lamb waves. Apart from that, other sensors were used to collect response signals. With regard to the damage factor, it was mainly determined by the difference between the damage signal and the non-damage signal. The probabilistic imaging algorithm was employed to carry out damage location imaging. Then, experiments were carried out so as to study the selected composite plate. Finally, the tentative outcomes have illustrated that the maximum error of damage imaging position was 7.07 mm. The relative error was 1.6%. In addition, the method has the characteristics of simple calculation and high imaging efficiency. Therefore, it has large technical potential and wide applications in the damage location and damage recognition for composite material.

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“…12 Following the emerging sparse representation theory, a combined method of sparse reconstruction and delay-and-sum (DAS) for high-resolution Lamb wave inspection is proposed. 13…”

Section: Introductionmentioning

confidence: 99%

A new K-means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault

Wang

2020

International Journal of Distributed Sensor Networks

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Sparse decomposition has excellent adaptability and high flexibility in describing arbitrary complex signals based on redundant and over-complete dictionary, thus having the advantage of being free from the limitations of traditional signal processing methods such as wavelet and fast Fourier transform being imposed by orthogonal basis. Sparse decomposition provides an effective approach for feature extraction of intricate vibration signals collected from rotating machinery. Self-learning over-complete dictionary and pre-defined over-complete dictionary are the two dictionary construction modes of sparse decomposition. Normally, the former mode owns the virtues of much more adaptive and flexible than the latter one, and several kinds of classical self-learning over-complete dictionary methods have been arising in recent years. K-means singular value decomposition is a classical self-learning over-complete dictionary method and has been used in image processing, speech processing, and vibration signal processing. However, K-means singular value decomposition has relative low reconstruction accuracy and poor stability to enhance the desired features. To overcome the above-mentioned shortcomings of K-means singular value decomposition, a new K-means singular value decomposition sparse representation method based on traditional K-means singular value decomposition method was proposed in this article, which uses the sparse adaptive matching pursuit algorithm and an iterative method based on the minimum similarity of atomic structure. The effectiveness and advantage of the proposed method were verified through simulation and experiment.

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Lamb wave inspection for composite laminates using a combined method of sparse reconstruction and delay-and-sum

Cited by 42 publications

References 34 publications

Magnetostrictive Sensor for Blockage Detection in Pipes Subjected to High Temperatures

Magnetostrictive Sensor for Blockage Detection in Pipes Subjected to High Temperatures

Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

A new K-means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault

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