Abstract: In view of the requirement of pulsating rapid production for production line satellite, in order to solve the problems of tedious mechanical test steps and difficulty to measure the internal structural response, a deep-learning -based indirect measurement method based on convolutional neural network (CNN) was proposed. A sine sweep test was conducted on a production line satellite I and a mature satellite II, respectively, to extract the frequency domain response of the structural acceleration. Then an indirect model based on CNN for measuring the internal response was established to verify the feasibility of the proposed method. The results show that the indirect measurement accuracy with the method reaches 95.8% and 96.9% for the two types of satellites, respectively, which indicates that the proposed method may have a strong potential for engineering applications.