Mechanical Vibration Signal Repair Based on Improved Compression Sampling Matching Tracking Algorithm
In order to solve the problem of poor data recovery of mechanical vibration signals by compressed sensing reconstruction algorithm,an improved compressed sampling matching tracking algorithm was proposed to repair and reconstruct the missing signals.The effect of several similar greedy reconstruction algorithms in recovering missing signals was compared.The recovery effect of the algorithm on the signal was verified by simulation data and measured data.The results show that the improved method can well realize the repair of the defective signal,and the reconstruction probability is much higher than that of other reconstruction algorithms,and the comparison of the compressed sampling matching tracking algorithm and the improved algorithm show that when the sparsity is 50,the reconstruction probability of the improved algorithm can reach 100％,while the reconstruction probability of the unimproved compressed sampling matching tracking algorithm is 0,which indicates that the reconstruction effect of the improved algorithm is better than that of the origi-nal algorithm,and the reconstructed signal can accurately represent all the information of the original signal.
the repair of vibration signalcompressed sensingreconstruction effectsimproved compressed sampling matching tracking algorithm
万方数据
维普
