汽车电驱动系统多源异构信号融合分类研究OA

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.