Review of Safe Operation State Assessment Methods Based on Transfer Learning

doi:10.16615/j.cnki.1674-8190.2020.04.002

Home > Archive>Volume 11, Issue 4, 2020 >454-460. DOI:10.16615/j.cnki.1674-8190.2020.04.002

Review of Safe Operation State Assessment Methods Based on Transfer Learning
DOI:
                        10.16615/j.cnki.1674-8190.2020.04.002
                    
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                        HongSheng1HongSheng
BeiHang University
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LiWenxin2LiWenxin
Beijing University of Technology
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LiuHao1LiuHao
BeiHang University
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Affiliation:1.BeiHang University;2.Beijing University of Technology
Clc Number:{V240.2};TP391
Fund Project:National key research and development project (2019YFB1706001); Industrial Internet innovation and development project (TC190H468); National natural science foundation of China (61304111 and 71231001); Beijing natural foundation (L161003)

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Abstract:

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.

Key words:transfer learning, missing data, state evaluation, safe operation

Reference

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HongSheng, LiWenxin, LiuHao. Review of Safe Operation State Assessment Methods Based on Transfer Learning[J]. Advances in Aeronautical Science and Engineering,2020,11(4):454-460

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Received:April 27,2020
Revised:June 23,2020
Adopted:July 01,2020
Online: August 25,2020
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