摘要
提出了用小波变换对水下爆炸作用下船体结构应变信号进行畸变和漂移修正的方法,采用db8小波函数对原始信号,进行6层分解,对分解出的细节信号进行重构并对原始信号和修正信号进行功率谱分析,与传统的多项式最小二乘法和滑动平均法进行修正的结果进行了对比分析,分析结果表明:采用小波变换方法能够准确地分离出代表信号趋势的低频成分,对各层细节信号进行重构后能很好地还原信号时域和频域特征,修正结果为进一步分析结构在水下爆炸作用下的应力传播提供了可靠依据。
The revision method of ship structure stain signal induced by underwater explosion using wavelet transform method is put forward, and the db8 wavelet function is used to decompose the original signal in 6 layers, then reconstructs each layer detail and analyzes the power spectrum of original signal and revision signal. Comparing and analyzing the revised results with＇ least square method and glide-average method, the results show that wavelet transform method can separate the low frequency composition of a signal trend accurately, the reconstruction signal of each layer detail can restore time and frequency characteristic nicely, the revision result provide credibility basis for further analysis of tress transmission in structure.
出处
《爆破》
CSCD
北大核心
2011年第3期30-33,共4页
Blasting
关键词
水下爆炸
应变
小波分析
信号修正
underwater explosion
strain
wavelet analysis
signal revision
