Sector Piezoelectric Sensor Array Transmitter Beamforming MUSIC Algorithm Based Structure Damage Imaging Method

Fu, Tao; Wang, Yi; Qiu, Lei; Tian, Xin

doi:10.3390/s20051265

Cited by 12 publications

(6 citation statements)

References 42 publications

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“…Most studies have used contact sensing, and only a few have used laser ultrasonic technology. The related research has focused on the following issues: Many topological arrays are designed, such as line [ 91 ], cross [ 92 , 93 ], petal [ 94 ], bilinear [ 95 ], biflabellate [ 96 ], and sparse [ 97 ]. The near-field 2D-MUSIC algorithm is used to locate the damage.…”

Section: Detection Methods Based On the Small Amount Of Wavefield Datamentioning

confidence: 99%

See 1 more Smart Citation

A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures

Zheng

Luo

et al. 2023

Sensors

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Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method (LU-LDM), signals can be detected over long distances without physical contact. Additionally, this technology offers excellent flexibility in designing the measurement point distribution. The characteristics of LU-LDM are first analyzed in this review, specifically in terms of laser ultrasound and hardware configuration. Next, the methods are categorized based on three criteria: the quantity of collected wavefield data, the spectral domain, and the distribution of measurement points. The advantages and disadvantages of multiple methods are compared, and the suitable conditions for each method are summarized. Thirdly, we summarize four combined methods that balance detection efficiency and accuracy. Finally, several future development trends are suggested, and the current gaps and shortcomings in LU-LDM are highlighted. This review builds a comprehensive framework for LU-LDM for the first time, which is expected to serve as a technical reference for applying this technology in large, thin-walled structures.

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Section: Detection Methods Based On the Small Amount Of Wavefield Datamentioning

confidence: 99%

“…Many topological arrays are designed, such as line [ 91 ], cross [ 92 , 93 ], petal [ 94 ], bilinear [ 95 ], biflabellate [ 96 ], and sparse [ 97 ]. The near-field 2D-MUSIC algorithm is used to locate the damage.…”

Section: Detection Methods Based On the Small Amount Of Wavefield Datamentioning

confidence: 99%

A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures

Zheng

Luo

et al. 2023

Sensors

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“…Kudela et al (2018) developed a damage detection and localization method based on Lamb wave focusing using annular piezoelectric arrays and applied it to crack damage imaging of plate-like structures. Fu et al (2020) used a fan-shaped piezoelectric sensor array to detect the damage of the circular bonding structure of the metal ring. This fan-shaped piezoelectric array is also a deformation of the annular array, which improves the imaging accuracy of damage.…”

Section: Introductionmentioning

confidence: 99%

Optimization design of an annular flexible IDT array based on a PDMS-PVDF substrate

Wang

Cui

Zhou

et al. 2023

Journal of Intelligent Material Systems and Structures

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Flexible sensors play an increasingly important role in damage detection of curved sheet-like structures in large-scale equipment. The sensor array is widely used in plate-like structures because it can collect damage information in a centralized manner. The annular array has the same sensitivity to damage in all directions of the circular array element. This design can realize the comprehensive detection of structural damage and improve the detection efficiency of structural damage. Aiming at the flexible sensor required for health monitoring of large flexible plate-like structures, an annular composite based on a flexible polydimethylsiloxane (PDMS) material and a flexible polyvinylidene difluoride (PVDF) material substrate was designed. A broadband omnidirectional interdigital transducer (IDT) was integrated into an annular IDT array to calibrate its frequency response and vibration output performance, and the sensor was applied to the structural inspection.

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“…The physicalbased approaches require a detailed model of the structure while the data-driven approaches are based on database analysis. Phased-array and directional filter [21][22][23], subspace approach [24][25][26], time reversal [27,28], and ellipse-based image [16,29,30] are methodologies based on the physical model of Lamb wave propagation. It is a challenging task due to its multimodal and dispersive characteristics [18,27].…”

Section: Introductionmentioning

confidence: 99%

A Damage Detection Method Using Neural Network Optimized by Multiple Particle Collision Algorithm

et al. 2021

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A critical task of structural health monitoring is damage detection and localization. Lamb wave propagation methods have been successfully applied for damage identification in plate-like structures. However, Lamb wave processing is still a challenging task due to its multimodal and dispersive characteristics. To address this issue, data-driven machine learning approaches as artificial neural network (ANN) have been proposed. However, the effectiveness of ANN can be improved based on its architecture and the learning strategy employed to train it. The present paper proposes a Multiple Particle Collision Algorithm (MPCA) to design an optimum ANN architecture to detect and locate damages in plate-like structures. For the first time in the literature, the MPCA is applied to find damages in plate-like structures. The present work uses one piezoelectric transducer to generate Lamb wave signals on an aluminum plate structure and a linear array of four transducers to capture the scattered signals. The continuous wavelet transform (CWT) processes the captured signals to estimate the time-of-flight (ToF) that is the ANN inputs. The ANN output is the damage spatial coordinates. In addition to MPCA optimization, this paper uses a quantitative entropy-based criterion to find the best mother wavelet and the scale values. The presented experimental results show that MPCA is capable of finding a simple ANN architecture with good generalization performance in the proposed damage localization application. The proposed method is compared with the 1-dimensional convolutional neural network (1D-CNN). A discussion about the advantages and limitations of the proposed method is presented.

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Sector Piezoelectric Sensor Array Transmitter Beamforming MUSIC Algorithm Based Structure Damage Imaging Method

Cited by 12 publications

References 42 publications

A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures

A Review of Laser Ultrasonic Lamb Wave Damage Detection Methods for Thin-Walled Structures

Optimization design of an annular flexible IDT array based on a PDMS-PVDF substrate

A Damage Detection Method Using Neural Network Optimized by Multiple Particle Collision Algorithm

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