Spacecraft in-cabin vibration response inversion method and device based on machine learning

The embodiment of the invention provides a spacecraft in-cabin vibration response inversion method and device based on machine learning, and the method comprises the steps: obtaining satellite data, carrying out the data screening of the satellite data, and determining target sample data; performing classification processing on the target sample data, and determining training data; determining a deep learning inversion model, correcting the deep learning inversion model based on the training data, and determining a target inversion model; and determining an inversion result based on the inversion data and the target inversion model. Under the condition that only the response result of the outboard part of the spacecraft is obtained, the machine learning result of the in-cabin vibration measuring point response can be obtained through the established inversion model, the intelligent manufacturing level of the spacecraft is improved, and large-scale production of the spacecraft is promoted. 本说明书实施例提供基于机器学习的航天器舱