A New Mathematics Method for Structural Health Monitoring's Damage Detection Based on WSNs

In the Wireless Sensor Network (WSN) for structural health monitoring (SHM), usually, we transmit the original acquisition data and exchange the large amounts of data between nodes which consume huge energy, occupy a large amount of communication bandwidth. Thus, data compression or data fusion to reduce network traffic and energy loss before transmission is necessary. In this work, we established a suitability compressive sensing (CS) to address some challenges in the Aviation Aluminum Plate Structural Health Monitoring System (AAPSHM) using WSN. Through the experimental demonstration, the application of this method could ensure the accuracy of the data as well as balance the network energy consumption. And it can also reduce the cost of data storage and transmission, improve the efficiency and make a certain contribution to the quality for the AAPSHM.