journal article·2021-01-02

AE source localization and imaging on cylindrical shell structures based on six-AE-sensor monitoring network and VTR focusing imaging

Shaofeng Wang, Hailing Wang, Daorui Wang, Jianguo Wang, Wenliang Zhang, Jun Hong, Lin Gao

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Abstract

This study is interested in how to utilise the virtual time reversal (VTR) technique to locate the continuous AE source in cylindrical shell structure. Thus, a six-AE-sensor monitoring network was designed to divide cylindrical surface into two symmetric semi-cylindrical monitoring areas whose four vertexes and two geometrical centres were defined as the measuring points. The AE source can be located in certain semi-cylindrical monitoring area whose centre measuring point first captured the emitted AE signal. Besides, the response signals at other four measuring points were used to localise the AE source. To realise the VTR focusing of the AE signals, the proposed method solved two key problems. One is to search the shortest helical path between two arbitrary points on a cylindrical surface, which can provide the shortest distance from AE source to sensor. The other is to extract the specific frequency coefficients of wavelet transform for the continuous AE signal, which can meet with the requirement for the instantaneous abrupt characteristic of the signals to be processed using VTR focusing technique. Finally, a continuous leak experiment was carried out on a gas-filled steel pipe. The corresponding localisation method can accurately estimate the location of the continuous leak source.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Geophysical Methods and Applications · Non-Destructive Testing Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia Province, China

Technology Center, Inner Mongolia North Heavy Industries Group Company Limited, Baotou, Inner Mongolia Province, China

Information & Technology Research Center, Baotou Special Equipment Inspection Institution, Baotou, Inner Mongolia Province, China

State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, shaanxi Province, China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Inner Mongolia · Inner Mongolia University of Science and Technology Innovation Fund

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