微型电脑应用2023，Vol.39Issue(12)：101-104,4.
结合离线计算与迁移学习的机务大数据闭环整合算法
A Closed-loop Integration Algorithm for Aircraft Maintenance Big Data Combining Offline Computing and Transfer Learning
王俊宇 1邢国栋 1李海涛 2付革民1
作者信息
- 1. 国能包神铁路集团有限责任公司机务分公司,内蒙古,鄂尔多斯 017000
- 2. 安徽安为科技有限公司,安徽,合肥 230000
- 折叠
摘要
Abstract
In order to realize the informatization and automatic management of railway locomotive and ensure the comprehensive,efficient and collaborative management and control of locomotive,a closed-loop integration algorithm of locomotive big data combined with off-line calculation and migration learning is proposed to cluster locomotive big data and form a closed-loop data chain of locomotive big data.The locomotive big data management part extracts and retrieves the locomotive big data sequence based on migration learning,and identifies and obtains the locomotive data required for locomotive management.The test re-sults show that the algorithm has good scalability,the acceleration results are more than 0.9,and the replication coefficient re-sults are less than 2％,which has a good clustering effect.The highest results of intelligence coefficient and data access load are 155.7 and 74.6,respectively,i.e.,a good integration performance.关键词
离线计算/迁移学习/机务大数据/闭环整合/数据序列Key words
off-line calculation/transfer learning/aircraft maintenance big data/closed-loop integration/data sequence分类
信息技术与安全科学引用本文复制引用
王俊宇,邢国栋,李海涛,付革民..结合离线计算与迁移学习的机务大数据闭环整合算法[J].微型电脑应用,2023,39(12):101-104,4.
