Xiaoran Wang

Dr. Xiaoran Wang

Beihang University

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 March 2019 in Materials
Verified
Journal Article
Open access
PDF file
JTJunfei Tai
Junfei Tai
THTian HE
Tian HE
QPQiang Pan
Qiang Pan
DZDayi Zhang
Dayi Zhang
Xiaoran WangXiaoran Wang
Xiaoran Wang
The beamforming method is capable of localizing the acoustic emission source in a large-scale structure but its accuracy relies strongly on the assumed propagation speed and it is quite time consuming to apply in online monitoring. This paper proposes a fast beamforming method to localize an acoustic emission source in a thin-walled structure with unknown wave speed. Firstly, the Bartlett beamforming method (BBM) is introduced into broadband Lamb wave signal processing to develop an L-shape array-based damage source localization method for a thin-walled structure. Secondly, the fast Bartlett beamforming method (FBBM) is proposed based on the characteristics of BBM. Finally, the pencil-lead break test is carried out to validate the proposed method. The test results show that the FBBM can accurately localize the damage source by any given probable wave speed much more rapidly than traditional delay-and-sum beamforming.

13 November 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Xiaoran WangXiaoran Wang
Xiaoran Wang
XLXiandong Liu
Xiandong Liu
THTian HE
Tian HE
JTJunfei Tai
Junfei Tai
YSYingchun Shan
Yingchun Shan
Time difference of arrival (TDOA) method and beamforming method are often individually utilized in the localization of acoustic emission source of a plate. Based on the performances of the two methods, a novel joint localization method for acoustic emission source is proposed in this paper. Firstly, the performances of TDOA method and beamforming method are studied based on the simulation signals. Then, aiming at the advantages and disadvantages of these two methods, a joint localization method is proposed. Finally, the performances of joint localization method are verified by simulation and experiment. Both simulation and experimental results show that the accuracy of the joint localization method is improved, and the calculation amount is greatly reduced in comparison to the TDOA method and the beamforming method.