A focusing MUSIC algorithm for baseline-free Lamb wave damage localization

Xu, Caibin; Wang, Jishuo; Yin, Shenxin; Deng, Mingxi

doi:10.1016/j.ymssp.2021.108242

Cited by 52 publications

(31 citation statements)

References 35 publications

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“…A musical image can be a scene, a character, or a spirit. The change of timbre and people's inner activities can produce an isomorphic relationship, which can make people connect the emotions conveyed by timbre with the scenes they see in daily life, so as to form the imagination of music image [ 25 , 26 ].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology

Yang

2022

Journal of Environmental and Public Health

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With the rise of Erhu teaching in recent years, a large number of people have joined the team to learn Erhu playing. However, due to the high cost of teaching and the unique one-to-one teaching mode between teachers and students, Erhu education resources are very scarce. Learning Erhu performance has become a luxury activity. Nowadays, with the rise of artificial intelligence, computer music is developing rapidly. Music has two important aspects: composition and performance. Different kinds of instruments convey different styles, and players inject different rhythms and dynamics into their performance, thus producing rich expressive force. The development of image style conversion, which opens people’s evaluation of music performance, is an important issue in many fields of artificial intelligence (it is also known as intelligence, machine intelligence, referring to the intelligence shown by the machine made by people. Usually, artificial intelligence refers to the technique of presenting human intelligence through ordinary computer programs). For an Erhu song, there are various factors that affect its effectiveness, and there are many indexes to evaluate it, such as sense of rhythm, expressive force, musical sense, style, and so on. Using a computer to simulate the evaluation process is essential to find out the mathematical relationship between the factors that affect the performance of music and the evaluation indexes. Neural network is a kind of mathematical model proposed by simulating the way of thinking of human brain in artificial intelligence. It has the advantages of not having strict requirements on data distribution, nonlinear data processing method, strong robustness, and dynamics and is very suitable for the mathematical model of evaluation system. In addition, the neural network also has a strong theoretical basis, and their application in various industries has developed basically mature. This paper tries to introduce a deep neural network mathematical model into the evaluation system of Erhu performance, and the experimental results prove the reliability and practicality of the method in this paper. It can provide a method basis and theoretical reference for evaluation of Erhu performance effect.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology

Yang

2022

Journal of Environmental and Public Health

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“…The Lamb wave mode conversion technique was adopted and the cracks could be quickly detected. Deng et al [ 21 ] proposed a focused multiple signal classification (MUSIC) algorithm based on the virtual time reversal technique. The baseline free Lamb wave damage localization of isotropic materials was achieved.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

Liu

et al. 2022

Sensors

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The identification of damage based on Lamb waves can hardly avoid obtaining the reference signal under healthy conditions. A non-reference damage localization (NRDL) method is proposed in this paper. The NRDL method is established by the improved two-arrival-time difference method (2/ATDM) and BFGS method. The layout principles of the piezoelectric ceramic lead zirconate titanate (PZT) transducer array in the specimen are proposed. In contrast to existing methods, the damage outside the array in the specimen is identified based on the NRDL. The full-area damage location in the specimen is realized. Furthermore, the optimization of the excitation signal center frequency and transducer array layout is carried out. The damage location accuracy is greatly improved.

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“…In Bao et al’s study, 28 a new synthetic aperture MUSIC algorithm is proposed for damage diagnosis of array error compensation. In Xu et al’s study, 29 a focused MUSIC algorithm is proposed for baseline free Lamb wave damage location on isotropic materials. In Zhong et al’s study, 30 a new near-field two-dimensional music method based on piezoelectric sensor array is proposed.…”

Section: Introductionmentioning

confidence: 99%

A reduced dimension multiple signal classification–based direct location algorithm with dense arrays

Zhao

et al. 2022

International Journal of Distributed Sensor Networks

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Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based on the idea of dimension reduction, the algorithm avoids multi-dimensional search in spatial domain and attenuation coefficient domain and reduces the search complexity. Simulation results show that the performance of the algorithm is better than the traditional angle of arrival two-step localization algorithm and subspace data fusion direct localization algorithm.

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A focusing MUSIC algorithm for baseline-free Lamb wave damage localization

Cited by 52 publications

References 35 publications

[Retracted] Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology

[Retracted] Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology

Numerical and Experimental Research on Non-Reference Damage Localization Based on the Improved Two-Arrival-Time Difference Method

A reduced dimension multiple signal classification–based direct location algorithm with dense arrays

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