摘要
通过小波分析,避免了泄露效应和由旁瓣引起的多峰现象影响频域分析的现象。通过神经网络算法,将基桩缺陷类型明确化,并指出缺陷的位置,使基桩检测结构更加人性化,同时为缺陷修复提供了较好的条件。可见,将小波分析和神经网络结合应用于基桩的检测中给施工带来了巨大的经济价值和实用价值。
In this paper, the wavelet analysis is made to avoid the leakage effect and the phenomenon of frequency domain analysis which is influenced by the side lobe. By neural network algorithm, pile defect types clear, and it pointed out the flaw position, pile detection structure is more humanized, and provide better conditions for defect repair. Visible, the wavelet analysis and neural network combined with the application in pile foundation detection to the construction has brought huge economic value and practical value.
出处
《现代工业经济和信息化》
2016年第17期84-85,共2页
Modern Industrial Economy and Informationization
基金
昆明市林业信息工程技术研究中心建设资助项目(编号2015FBI06)
