Transfer learning is a method to solve problems in a given field by using the existing knowledge in other related fields. It can effectively suppress the impact of data loss on the accurate establishment of state evaluation model, so as to lay a foundation for safe and reliable operation of equipment and maintenance decision. This paper summarizes the current research situation of using transfer learning to realize running state evaluation in the absence of device product data and discusses the future research direction of transfer learning in the field of state evaluation.