CAJ | 학술논문

设计了一个基于模态分析技术的嵌入式索力检测系统．其选择使用具有较好性能及计算精度的特征系统实现算法识别拉索的各阶模态频率，并利用基于频域平滑的重采样技术和随机减量技术对振动信号预处理以得到自由响应信号；基于ARM芯片和Linux平台，使用嵌入式J2SE技术开发实现了监测系统，并进行了实际工程应用测试．结果表明：在嵌入式系统中实现的预处理算法和特征系统实现算法能够较精确地识别出大多数情况下拉索振动信号的基频值，并据此计算出索力值，设计的嵌入式索力检测系统具有有效性和实用性．
설계료일개기우모태분석기술적감입식색력검측계통．기선택사용구유교호성능급계산정도적특정계통실현산법식별랍색적각계모태빈솔，병이용기우빈역평활적중채양기술화수궤감량기술대진동신호예처리이득도자유향응신호；기우ARM심편화Linux평태，사용감입식J2SE기술개발실현료감측계통，병진행료실제공정응용측시．결과표명：재감입식계통중실현적예처리산법화특정계통실현산법능구교정학지식별출대다수정황하랍색진동신호적기빈치，병거차계산출색력치，설계적감입식색력검측계통구유유효성화실용성．
An embedded cable force detection system based on the modal analysis technology is designed in this paper. In view of the characteristics of the embedded system, we select the ERA owing to its better performance and computational accuracy to identify the modal harmonic frequency of cable, and obtain the free response signal using the random decrement technique to preprocess the vibration signal. The detection system is engineered on the basis of the ARM9 chips, Linux operating system and embedded J2SE technology development. The test results from the field engineering measurement show that the improved random decrement technique and ERA implemented on the designated embedded system can quickly identify base frequency of most cable vibration signal from which the cable force values can be calculated for. The proposed approach has demonstrated the efficiency and practicability of embedded cable force detection system based on modal analysis techniques.