TY - JOUR
T1 - Acoustic source localization using L-shaped sensor clusters
T2 - A review
AU - Ma, Chenning
AU - Zhou, Zixian
AU - Liu, Jinxia
AU - Cui, Zhiwen
AU - Kundu, Tribikram
N1 - Funding Information: Some of the reviewed works in this article was supported by various research fundings from USA and the University of Tokyo to the last author for his visit to the University of Tokyo, while to the other authors fundings came from the Department of Science and Technology of Jilin Province (Grant Nos.20230402053GH, 20220101012JC), the Natural Science Foundation of Chongqing of China (Grant No.CSTB2022NSCQ-MSX1109), the State Key Laboratory of Acoustics, Chinese Academy of Sciences under (Grant No. SKLA202308 ), Ministry of Human Resources and Social Security (MOHRSS): Homeland-Serving Action Plan for Overseas Chinese, China (Grant No. GDW20182200133 ). Publisher Copyright: © 2023 Elsevier B.V.
PY - 2023/7
Y1 - 2023/7
N2 - Acoustic source localization (ASL) plays an important role in structural health monitoring (SHM). The L-shaped sensor cluster (LSSC) is very convenient for ASL, and hence SHM. Various techniques based on LSSC have been developed rapidly in the past decade. LSSC can be conveniently used for damage detection and localization, a necessary step for monitoring structures through non-destructive testing (NDT). After ten years of development, LSSC still has a wide development space. In this paper, the fundamental roles of LSSC in developing different techniques within last ten years and its future potentials are discussed. The LSSC-based time difference of arrival localization techniques and the wave front shape-based localization techniques are reviewed in detail in this paper. This paper aims to give readers a more comprehensive and clear understanding of these techniques. The discussion on the advantages and disadvantages of these techniques and various sources of the errors will give the readers the current limitations and future development prospects of ASL and damage detection techniques using LSSC.
AB - Acoustic source localization (ASL) plays an important role in structural health monitoring (SHM). The L-shaped sensor cluster (LSSC) is very convenient for ASL, and hence SHM. Various techniques based on LSSC have been developed rapidly in the past decade. LSSC can be conveniently used for damage detection and localization, a necessary step for monitoring structures through non-destructive testing (NDT). After ten years of development, LSSC still has a wide development space. In this paper, the fundamental roles of LSSC in developing different techniques within last ten years and its future potentials are discussed. The LSSC-based time difference of arrival localization techniques and the wave front shape-based localization techniques are reviewed in detail in this paper. This paper aims to give readers a more comprehensive and clear understanding of these techniques. The discussion on the advantages and disadvantages of these techniques and various sources of the errors will give the readers the current limitations and future development prospects of ASL and damage detection techniques using LSSC.
KW - Acoustic source localization
KW - Elastic wave propagation
KW - L-shaped sensor clusters
KW - Time difference of arrival
KW - Wave front shape
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U2 - 10.1016/j.ultras.2023.107020
DO - 10.1016/j.ultras.2023.107020
M3 - Review article
C2 - 37116398
SN - 0041-624X
VL - 132
JO - Ultrasonics
JF - Ultrasonics
M1 - 107020
ER -