.png){kind=icon}
返回
Vibration based damage detection using large array sensors and spatial filters
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ymssp.2005.02.010.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a novel approach for vibration based damage detection is proposed. The approach relies on the use of a large network of sensors (possibly hundreds of them) to which a programmable linear combiner is attached. The linear combiner is programmed to work as a modal filter. The frequency content of the output of the modal filter is proposed as feature for damage detection. It is shown that if a local damage is present, spurious peaks appear in the FRF of the modal filter whereas if temperature changes are considered, the FRF of the modal filter is shifted but its shape remains unchanged. The approach is interesting because of the ability to differentiate between local damage and global environmental changes to a structure. Issues about the practical implementation of the method are discussed. (c) 2005 Elsevier Ltd. All rights reserved.
Keyword:
health monitoring
sensor array
damage detection
spatial filtering
environmental conditions
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
IF:
8.9
论文数:
1.3W
被引数:
6.6W
机构
暂无机构信息
引用论文
Reference-based stochastic subspace identification for output-only modal analysis用于仅输出模态分析的基于参考的随机子空间识别
PREAI
分享收藏NARMAX model representation and its application to damage detection for multi-layer composites.png)
COMPOSITE STRUCTURES
COMPOSITE STRUCTURESIF7.1
PREAI
分享收藏Distributed sensors with piezoelectric films in design of spatial filters for structural control
PREAI
分享收藏分享收藏分享收藏
查看更多内容