Investigating Electromagnetic Acoustic Emission Signal Processing Based on Optimized Variational Mode Decomposition

Li, Qiuyue; Lai, Yu‐Shu; Yang, Chenglong; Cao, Difei

doi:10.1109/icsp54964.2022.9778336

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) 2022

DOI: 10.1109/icsp54964.2022.9778336

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Investigating Electromagnetic Acoustic Emission Signal Processing Based on Optimized Variational Mode Decomposition

Qiuyue Li

Yu‐Shu Lai

Chenglong Yang

et al.

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2024

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Cited by 3 publications

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Investigating Electromagnetic Acoustic Emission Signals Denoising for Alloy Materials Nondestructive Testing: A CRQA Method

Li,

Lai,

Cao

2024

Russ J Nondestruct Test

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Investigating Electromagnetic Acoustic Emission Signals Denoising for Alloy Materials Nondestructive Testing: A CRQA Method

Li,

Lai,

Cao

2024

Russ J Nondestruct Test

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Calculation of the magnetic field strength inside and outside of an infinite cylinder placed in an arbitrary external field

Dyakin,

Kudryaschova,

Raevskii

2024

Defektoskopiâ

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Aiming at the problem that signals collected from local electromagnetic loading operations are usually mixed with background noises (especially white noise), this paper proposed an electromagnetic acoustic emission signal denoising technology based on cross recurrence quantification analysis (CRQA). Firstly, the decomposition layer and penalty factor of variational mode decomposition (VMD) are set by experience or optimization algorithm, and then the original signal is decomposed. Secondly, the main components are selected by the CRQA algorithm, and the electromagnetic acoustic emission signal after denoising is obtained by superposition reconstruction. The simulation and experimental results show that when 5dB noise is added, CRQA can effectively remove the background noises in electromagnetic acoustic emission signals compared to the correlation coefficient algorithm, and it can assist in realizing the high-precision non-destructive testing of alloy materials.

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Investigating electromagnetic acoustic emission signals denoising for alloy materials non-destructive detecting: a CRQA method

Li,

Lai,

Cao

2024

Defektoskopiâ

View full text Add to dashboard Cite

show abstract

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Investigating Electromagnetic Acoustic Emission Signal Processing Based on Optimized Variational Mode Decomposition

Cited by 3 publications

References 6 publications

Investigating Electromagnetic Acoustic Emission Signals Denoising for Alloy Materials Nondestructive Testing: A CRQA Method

Investigating Electromagnetic Acoustic Emission Signals Denoising for Alloy Materials Nondestructive Testing: A CRQA Method

Calculation of the magnetic field strength inside and outside of an infinite cylinder placed in an arbitrary external field

Investigating electromagnetic acoustic emission signals denoising for alloy materials non-destructive detecting: a CRQA method

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