CAJ | 학술논문

针对结构监测中的结构损伤信号的处理，提出一种基于压缩感知的数据融合方法，实现压缩采样后的稀疏信号的融合和重构。对航空铝板的损伤信号采用高斯随机矩阵将高维信号序列投影到低维空间，获得稀疏采样的线性测量值，实现信号的压缩采样；再对多传感器的线性测量值进行数据融合；最后通过重构算法来实现信号的重构。实验表明，与现有的方法相比，感知融合的方法具有更好的融合性能和抗噪性，能获得更高的数据压缩效果，节省了网络的带宽和能量，更适合于结构损伤信号的处理。
침대결구감측중적결구손상신호적처리，제출일충기우압축감지적수거융합방법，실현압축채양후적희소신호적융합화중구。대항공려판적손상신호채용고사수궤구진장고유신호서렬투영도저유공간，획득희소채양적선성측량치，실현신호적압축채양；재대다전감기적선성측량치진행수거융합；최후통과중구산법래실현신호적중구。실험표명，여현유적방법상비，감지융합적방법구유경호적융합성능화항조성，능획득경고적수거압축효과，절성료망락적대관화능량，경괄합우결구손상신호적처리。
To meet the needs of data compression and data fusion in structural health monitoring (SHM ) based on wireless sensor networks (WSNs) ,a novel method of multi‐sensor data fusion based on com‐pressed sensing (CS) is proposed for wireless structural damage signal to realize data fusion and recon‐struction for sparse signals .The damage signals of aviation aluminum plate are measured and projected on to the linear measurement data through inner products with random Gaussian matrix .Measurement data are fused by the Bayesian algorithm .Finally ,the damage signals can be reconstructed by the CS method .The experiment results show that compared with the existing method ,the proposed method can save the network bandwidth as well as energy ,thanks to its good data fusion performance ,anti‐noise property and better data compression effect .