Review of Safe Operation State Assessment Based on Transfer Learning Methods

Abstract

Transfer learning is a method to solve problems in a given field by using the existing knowledge in other related fields, and can effectively suppress the impact of missing data on the accurate establishment of state evaluation model, which can lay a foundation for safe and reliable operation of equipment and maintenance decision. The current research situation of using transfer learning to realize running state evaluation under the condition of missing data of related equipment products in aerospace field is summarized, and the future research direction of transfer learning methods in the field of state evaluation is discussed, which provides an up-to-date reference for the relevant researchers in the field of aerospace to analyze the actual problems and find possible solutions accordingly.

Keywords

• transfer learning
• missing data
• state evaluation
• safe operation