Vehicle fault text data generation method and system based on transfer learning

The invention relates to the technical field of artificial intelligence, and provides a vehicle fault text data generation method based on transfer learning, and the method comprises the steps: enabling first vehicle structured fault data to serve as a source domain, carrying out the data preprocessing, and enabling the data to serve as a training data set and a test data set of a pre-training model; selecting a pre-training model, pre-training the pre-training model by using the training data set, and testing the pre-training model by using the test data set to obtain the structure and weight parameters of the pre-training model; and adjusting weight parameters in the pre-training model. Taking the second vehicle structured fault data as a target domain, and carrying out transfer learning; and inputting the simulated fault code and the fault description, and generating structured second fault instance data. The invention also provides a system, the new vehicle model can have enough fault data instance data,