A new synthesis aperture-MUSIC algorithm for damage diagnosis on complex aircraft structures

Bao, Qiao; Yuan, Shenfang; Guo, Fengjie

doi:10.1016/j.ymssp.2019.106491

Cited by 33 publications

(15 citation statements)

References 28 publications

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“…The basic process and theoretical formulations have been introduced in the references [ 29 , 30 , 31 , 32 ]. In this paper, the formulations of the TR-MUSIC algorithm based on a linear piezoelectric sensor array and Lamb waves can be written as follows.…”

Section: Local Tr-music Algorithmmentioning

confidence: 99%

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A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures

Fan

Zhang

Sun

et al. 2021

Sensors

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Lamb wave-based damage imaging is a promising technique for aircraft structural health monitoring, as enhancing the resolution of damage detection is a persistent challenge. In this paper, a damage imaging technique based on the Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) algorithm is developed to detect damage in plate-type structures. In the TR-MUSIC algorithm, a transfer matrix is first established by exciting and sensing signals. A TR operator is constructed for eigenvalue decomposition to divide the data space into signal and noise subspaces. The structural space spectrum of the algorithm is calculated based on the orthogonality of the two subspaces. A local TR-MUSIC algorithm is proposed to enhance the image quality of multiple damages by using a moving time window to establish the local space spectrum at different times or different distances. The multidamage detection capability of the proposed enhanced TR-MUSIC algorithm is verified by simulations and experiments. The results reveal that the local TR-MUSIC algorithm can not only effectively detect multiple damages in plate-type structures with good image quality but also has a superresolution ability for detecting damage with distances smaller than half the wavelength.

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Section: Local Tr-music Algorithmmentioning

confidence: 99%

“…Zhong et al [ 27 , 28 , 29 ] developed a series of improved MUSIC algorithm to detect impact sources under varying temperature, vibration and deformation conditions. Yuan et al [ 19 , 30 , 31 ] made use of the MUSIC algorithm for damage location estimation of aircraft structures.…”

Section: Introductionmentioning

confidence: 99%

A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures

Fan

Zhang

Sun

et al. 2021

Sensors

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“…The modified MUSIC algorithm was applied for the SHM system based on Lamb waves for damage (drilled holes) detection in aluminium plate-type aircraft structures [27]. Bao et al [29] proposed another modification to the MUSIC algorithm that overcomes the problems related to the low signal-to-noise ratio (SNR) of damage scattered signals, as well as the structural anisotropy in complex elements that limits the localisation ability of the algorithm. They developed a new aperture-MUSIC algorithm for damage diagnosis with array error compensation.…”

Section: Introductionmentioning

confidence: 99%

“…They developed a new aperture-MUSIC algorithm for damage diagnosis with array error compensation. Its effectiveness in detecting corrosion damage was successfully verified on a complex aircraft structure with T-stiffeners, ribs and rivets [29]. RAPID is based on a comparison between the obtained signals and a damage probability distribution [30].…”

Section: Introductionmentioning

confidence: 99%

Fatigue Crack Propagation Monitoring Using Fibre Bragg Grating Sensors

Mieloszyk

2021

Vibration

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The paper presents the analysis of the possibility of fatigue crack detection and monitoring its propagation process using fibre Bragg grating (FBG) sensors. The investigations were carried out on an aluminium alloy sample (a part of the Mi-2 helicopter rotor blade). During the fatigue test, the sample was equipped with FBG sensors applied for strain measurement and the vibration-based strain monitoring. It was observed that the strain curves determined by the FBG sensors agreed well with the fatigue force profile. However, the strain curves were almost insensitive to the crack propagation process, except in the last stage of the test, when the crack length was equal to 25 mm. The strain values and the natural frequencies of the sample that were determined experimentally were compared with the values achieved from the finite element method model, with both methods showing good agreement. Additionally, spectrogram-based analyses were performed, focused on the acoustic waves phenomena related to a crack propagation process. It was confirmed that the proposed signal processing method, based on spectrogram analyses, can be applied for the detection of fatigue crack development in metal structures.

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“…This is an old and difficult problem due to its intrinsic ill-posedness and nonlinearity [1]. Nevertheless, it is a very important problem to current scientists and engineers in developing reliable tools and techniques that can be applied to real-world problems such as medical imaging [2][3][4], damage detection in civil structure [5][6][7], radar imaging [8][9][10], etc. In order to solve this problem, various techniques have proposed various reconstruction algorithms.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Identification of Coupling Effect and Performance Analysis of Single-Source Direct Sampling Method

Park¹

2021

Mathematics

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Although the direct sampling method (DSM) has demonstrated its feasibility in identifying small anomalies from measured scattering parameter data in microwave imaging, inaccurate imaging results that cannot be explained by conventional research approaches have often emerged. It has been heuristically identified that the reason for this phenomenon is due to the coupling effect between the antenna and dipole antennas, but related mathematical theory has not been investigated satisfactorily yet. The main purpose of this contribution is to explain the theoretical elucidation of such a phenomenon and to design an improved DSM for successful application to microwave imaging. For this, we first survey traditional DSM and design an improved DSM, which is based on the fact that the measured scattering parameter is influenced by both the anomaly and the antennas. We then establish a new mathematical theory of both the traditional and the designed indicator functions of DSM by constructing a relationship between the antenna arrangement and an infinite series of Bessel functions of integer order of the first kind. On the basis of the theoretical results, we discover various factors that influence the imaging performance of traditional DSM and explain why the designed indicator function successfully improves the traditional one. Several numerical experiments with synthetic data support the established theoretical results and illustrate the pros and cons of traditional and designed DSMs.

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A new synthesis aperture-MUSIC algorithm for damage diagnosis on complex aircraft structures

Cited by 33 publications

References 28 publications

A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures

A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures

Fatigue Crack Propagation Monitoring Using Fibre Bragg Grating Sensors

Theoretical Identification of Coupling Effect and Performance Analysis of Single-Source Direct Sampling Method

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