汽车实训设备故障诊断算法的关键技术突破

中图分类号：U463.6 文献标识码：B 文章编号：1003-8639（2025）09-0164-03

Key Technological Breakthroughs in Fault Diagnosis Algorithms for Automotive Training Equipment

Xue Yu

（Heze Information Engineering School of Shandong Province，Heze 274Ooo，China）

【Abstract】In response to the fault diagnosis requirements of automotive training equipment，a hybrid intellgent diagnosis algorithm thatintegrates multi-sourcesensordata isproposed，andan embedded systembased on ARM+FPGA is developed.The experimental results show that inthe engine training platform，the systemachieves 96.8% faultidentificationaccuracyand 6.9ms responsedelay，compared withthe traditional method，itscomprehensive performance is improved by more than 40% ：

【Key Words】fault diagnosis algorithm;automotive training equipment;deep belief network；multi-sensor fusion;embedded system

0 引言

随着新能源汽车技术的快速发展，汽车实训教学设备正面临智能化升级的迫切需求。（剩余4943字）