科技创新与应用2024，Vol.14Issue(18)：20-23,4.DOI:10.19981/j.CN23-1581/G3.2024.18.004
汽车电驱动系统多源异构信号融合分类研究
奚易1
作者信息
- 1. 重庆青山工业有限责任公司,重庆 402761
- 折叠
摘要
Abstract
Multi source heterogeneous data fusion,as an important data processing method in the field of automotive electric drive systems,has attracted much attention.It plays a key role in the field of automotive electric drive systems,providing an ef-fective means for a deeper understanding of system operation characteristics and solving complex problems.This paper proposes a multi-source heterogeneous data fusion method applied to automotive electric drive systems by analyzing the characteristics of mul-ti-source heterogeneous signals and the classification of fusion levels.The fusion algorithm is validated using the collected multi-source heterogeneous data of electric drive systems,and the results show that fusion analysis can effectively distinguish the quality of automotive electric drive systems.关键词
电驱动系统/多源异构数据/特征提取/多源融合/加权融合Key words
electric drive system/multi-source heterogeneous data/feature extraction/multi-source fusion/weighted fusion分类
信息技术与安全科学引用本文复制引用
奚易..汽车电驱动系统多源异构信号融合分类研究[J].科技创新与应用,2024,14(18):20-23,4.
