CAJ | 학술논문

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.
침대사랍색적기빈검측계통진행료연구,제출기우 ARM+DSP 적랍색진동신호분석검측기술.수선분석료전단진동신호적채집방법화신호처리기술,연후재 ARM+DSP 평태중진행기빈분석산법적실현여우화,최종선취 SEED-DEC138공업삼고설계평태,병이용쌍핵심편진행관건모태분석산법적이식우화이급예처리산법적개발,실현료일충신적사랍색진동신호처리계통.시험결과표명:신계통기능보증교고적검측정도,동시야능보증흔호적실시성.
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 + DSP. 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.