.png){kind=icon}
返回
A Two-Dimensional Plum-Blossom Sensor Array-Based Multiple Signal Classification Method for Impact Localization in Composite Structures
.png){kind=icon}
PRE
AI
DOI：10.1111/mice.12198.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The growing use of composite materials on aircraft structures has attracted much attention for the impact monitoring as a kind of structural health monitoring method. Uniform linear sensor array (ULSA)-based multiple signal classification (MUSIC) technology is a promising method because of its directional scanning ability and easy arrangement of the sensor array. However, the monitoring range of ULSA-based MUSIC method is 0 degrees-180 degrees, and its beamforming properties degrade at angles close to 0 degrees and 180 degrees. Besides, the ULSA-based MUSIC methods proposed require the knowledge of the direction dependent velocity profile obtained by additional experiments. This article presents a novel two-dimensional (2-D) plum-blossom sensor array (PBSA)-based MUSIC method. First, the velocity propagating at the specific direction is estimated by impact signal itself using PBSA directly. Second, 2-D PBSA-based MUSIC method well realizes omnidirectional 0 degrees-360 degrees impact localization of composite structures. Experimental results show its successful performance on epoxy laminate plate and complex composite structure.
Keyword:
WAVELET NEURAL-NETWORK
DAMAGE DETECTION
CHAOS METHODOLOGY
LAMB WAVES
IDENTIFICATION
ALGORITHM
SYSTEM
MUSIC
PROPAGATION
PARAMETER
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
9.1
论文数:
2.0K
被引数:
10.0K
机构
引用论文
分享收藏In situ 2-D piezoelectric wafer active sensors arrays for guided wave damage detection用于导波损伤检测的原位二维压电晶片有源传感器阵列.png)
ULTRASONICS
ULTRASONICSIF4.1
PREAI
分享收藏
分享收藏
查看更多内容