Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole

Xiao, Pan; Hu, Qingchun; Tao, Qing Lin; Dong, Longjun; Zhang, Yang; Zhang, Wei-Bin

doi:10.1109/access.2020.2972411

Cited by 16 publications

(3 citation statements)

References 23 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, compared to other algorithms, AMA performed poorly for errors that were less than 1 cm. A collaborative model, node block location method (NBLM), was proposed by Xiao et al [126] for quasi-cylinders with complex holes. NBLM neglected the space and could represent the propagation of waves properly in the complex structures.…”

Section: ) Source Localization With Known Velocitymentioning

confidence: 99%

State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

Hassan¹,

Mahmood²,

Yahya

et al. 2021

IEEE Access

View full text Add to dashboard Cite

The acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or without prior knowledge of wave velocity, have been presented. Several authors have conducted in-depth research in the localization of AE sources. However, existing review papers do not focus on the performance evaluation of existing source localization techniques. This paper discusses these techniques based on the number of sensors used and the geometry of the structures of interest. Furthermore, it evaluates them on the basis of their performance. At the end of this paper, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations. A deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources.

show abstract

Section: ) Source Localization With Known Velocitymentioning

confidence: 99%

State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

Hassan¹,

Mahmood²,

Yahya

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…AE is a structural health monitoring (SHM) technology [3], which has the advantages of online monitoring, high sensitivity, and early and rapid defect detection [4][5][6][7]. It has been widely used in machinery, geology, materials, and other fields, and has obtained a lot of achievements [8].…”

Section: Introductionmentioning

confidence: 99%

Noise Reduction Based on a CEEMD-WPT Crack Acoustic Emission Dataset

Zhao,

Ma,

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

In order to solve the noise reduction problem of acoustic emission signals with cracks, a method combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) and wavelet packet (WPT) is proposed and named CEEMD-WPT. Firstly, the single Empirical Mode Decomposition (EMD) used in the traditional CEEMD is improved into the WPT-EMD with a more stable noise reduction effect. Secondly, after decomposition, the threshold value of the correlation coefficient is determined for the Intrinsic Mode Function (IMF), and the low correlation component is further processed by WPT. In addition, in order to solve the problem that it is difficult to quantify the real signal noise reduction effect, a new quantization index “principal interval coefficient (PIC)” is designed in this paper, and its reliability is verified through simulation experiments. Finally, noise reduction experiments are carried out on the real crack acoustic emission dataset consisting of tensile, shear, and mixed signals. The results show that CEEMD-WPT has the highest number of signals with a principal interval coefficient of 0–0.2, which has a better noise reduction effect compared with traditional CEEMD and Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). Moreover, the statistical variance of CEEMD-WPT is evidently one order of magnitude smaller than that of CEEMD, so it has stronger stability.

show abstract

“…Mclaskey 18 applied the beam forming method on the reinforced concrete structure of large plates and combined a closely spaced sensor array to assess the AE source location. Pan 19 proposed a node block location method (NBLM) based on the collaborative model of node and block matrix, which satisfies the source localization problem in the quasi-cylindrical structure with a complex hole. However, its structure is a single part and does not have the complexity of multi-part coupling.…”

Section: Introductionmentioning

confidence: 99%

A method of acoustic emission source location for engine fault based on time difference matrix

Liu

Han

Wang

et al. 2022

Structural Health Monitoring

View full text Add to dashboard Cite

The structure of a high-performance engine is becoming more and more complex, so it is very important to accurately and quickly locate the faults to ensure its operation safety. The acoustic emission (AE) signal which is caused by the structural damage of engines contains important structural integrity information; however, the accuracy of existing AE location methods is affected by complex structures, such as stiffeners, holes, variable wall thickness, and interface coupling. Therefore, this paper proposes a new AE source location method that combines the two-step Akaike information criterion (AIC) based on the dispersion curve and the time difference matrix (TDM). This method can precisely locate the faults of complex structures without considering the wave velocity. Through theoretical calculation and numerical simulation, this paper intends to show that the proposed method is superior to the traditional AIC and can track the arrival time of the AE signal more accurately. In addition, experiments on different structures illustrate that the proposed method has higher location accuracy in complex structures. This paper also analyzes the location sensitivity to the number and array of sensors in a complex structure and puts forward an optimal scheme of sensor layout on the condition of high location accuracy. The results show that the proposed method can be used as a reliable tool for AE source location and fault monitoring of complex structures. It will have a wide application prospect in the engine and other fields.

show abstract

Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole

Cited by 16 publications

References 23 publications

State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

Noise Reduction Based on a CEEMD-WPT Crack Acoustic Emission Dataset

A method of acoustic emission source location for engine fault based on time difference matrix

Contact Info

Product

Resources

About