Cable-stayed bridge sensor optimization based on modal information incremental matrix of the covariance matrix

Sensor optimization is an important part of Structural Health Monitoring System (SHM), as the use of different number of modes and the number of sensors have a great impact on the results of sensor optimization, reasonable modality number plays a key role in sensor optimization. But the selection of sensor number and modality mostly depends on experience and economy. In this paper, the method of determining the number of target modes based on modal information incremental matrix of the covariance matrix is studied, and the sensor optimization is carried out by taking a laboratory cable-stayed bridge model as an example, and the results are compared with the method of determining the number of target modes based on the rate of change of the Fisher information matrix. The results show that the method of modal information incremental matrix based on the covariance matrix can accurately calculate the number of target modes required for the optimization of cable-stayed bridge sensors.