.png){kind=icon}
返回
Noise elimination algorithm for modal analysis
.png){kind=icon}
PRE
AI
DOI：10.1063/1.4927642.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Modal analysis is an ongoing interdisciplinary physical issue. Modal parameters estimation is applied to determine the dynamic characteristics of structures under vibration excitation. Modal analysis is more challenging for the measured vibration response signals are contaminated with noise. This study develops a mathematical algorithm of structured low rank approximation combined with the complex exponential method to estimate the modal parameters. Physical experiments using a steel cantilever beam with ten accelerometers mounted, excited by an impulse load, demonstrate that this method can significantly eliminate noise from measured signals and accurately identify the modal frequencies and damping ratios. This study provides a fundamental mechanism of noise elimination using structured low rank approximation in physical fields. (C) 2015 AIP Publishing LLC.
Keyword:
SURFACE-EMITTING LASER
IDENTIFICATION
CAVITY
REMOVAL
ARRAYS
MODES
ORDER
TIME
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:
3.6
论文数:
10.4W
被引数:
17.8W
机构
引用论文
An Advanced Application of Protein Microarrays: Cell-Based Assays for Functional Genomics蛋白质微阵列的高级应用：基于细胞的测定方法用于功能基因组学
PREAI
分享收藏分享收藏Steady-state liquid sloshing in a rectangular tank with a slat-type screen in the middle: Quasilinear modal analysis and experiments.png)
PHYSICS OF FLUIDS
PHYSICS OF FLUIDSIF4.3
PREAI
分享收藏
分享收藏The relevance of chirality in space group analysis: A database study of common hydrogen-bonding motifs and their symmetry preferencesCrystEngComm
CrystEngCommIF0
PREAI
分享收藏
查看更多内容