This paper introduces the application of machine learning methods in industrial informationization

and proposes the construction method of machine learning platform to satisfy the automatic detection requirements in typical equipment production of aviation manufacturing. The method includes: construction of an overall scheme of the machine learning platform

design and optimization of the automatic detection model

training of the detection model and empirical experimental evaluation. This paper takes the automatic detection of diffusion bonding defects of stator vanes as an example

and trains the model with defect detection accuracy which is more than 96%

verifies the feasibility and effectiveness of the machine learning platform.