To meet the needs of data compression and data fusion in structural health monit oring (SHM) based on wireless sensor networks (WSNs), a nove l method of multi sensor data fusion based on comp ressed sensing (CS) is proposed for wireless structural damage signal to realize dat a fusion and reconstruction for sparse signals. The damage signals of avi ation 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 reconstru cted by the CS method. The experiment results show that compared with the exist ing 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 co mpression effect.