摘要
针对斜拉索的基频检测系统进行了研究,提出基于ARM+DSP的拉索振动信号分析检测技术.首先分析了前端振动信号的采集方法和信号处理技术,然后在ARM+DSP平台中进行基频分析算法的实现与优化,最终选取SEED-DEC138工业参考设计平台,并利用双核芯片进行关键模态分析算法的移植优化以及预处理算法的开发,实现了一种新的斜拉索振动信号处理系统.试验结果表明:新系统既能保证较高的检测精度,同时也能保证很好的实时性.
Based on the research results of the cable-stayed bridges of base frequency detection system, we propose the method of detection of bridge cable force using ARM ＋ DSR Applying the vibration signal sampling method and processing technology, the base frequency analysis algorithm is formed and optimized on the ARM ＋ DSP platform. Eventually we select SEED-DEC138 industry-designed platform to take advantage of dual-core chips in the transplantation and optimization to improve the modal analysis algorithm, by which a new cable vibration signal processing system is developed. The real-world tests show that the proposed new system can guarantee a high precision and a good real-time performance.
出处
《宁波大学学报（理工版）》
CAS
2013年第2期54-58,共5页
Journal of Ningbo University：Natural Science and Engineering Edition
基金
国家自然科学基金(61141015
61071198)
浙江省自然科学基金(Y1110161)
浙江省教育厅高校科技计划项目(Z201019260)
宁波市自然科学基金(2011A610181)
宁波大学大学生科技创新项目(SRIP)
关键词
基频
索力检测
双核
模态分析
base frequency
cable force
dual-core
modal analysis
