摘要
为避免对汽车发动机做不必要的拆装,采用多传感器获取发动机进气系统中空燃比、节流流量和汽缸流量的数据,利用BP算法进行数据的融合,对设备转速状态进行预测,以此判断故障原因。试验获取了精度较高的数据,经过MATLAB仿真计算,该系统能够达到的故障检测准确率大于93%,高于采用单一传感器所能达到的故障检测准确率。
In order to avoid unnecessary disassembly and assembly of automobile engine,multi-sensor is used to obtain the data of air-fuel ratio,throttle flow and cylinder flow of engine intake system,and BP algorithm is used to fuse the data,so as to predict the speed state of equipment and judge the cause of failure.Through MATLAB simulation,the fault detection accuracy of the system is more than 93%,which is higher than that of single sensor.
作者
耿金萍
刘强
GENG Jinping;LIU Qiang(Jiangsu Normal University Kewen College,Xuzhou 221132,China;School of Physics and New Energy,Xuzhou University of Technology,Xuzhou 221018,China)
出处
《机械工程师》
2021年第6期9-11,共3页
Mechanical Engineer
作者简介
耿金萍(1984—),女,硕士,高级工程师,讲师,研究方向为机械设计及传动机构设计、机械故障诊断技术等。
