在汽车故障排除中，数据流是帮助我们形成诊断思路的有效工具，而要利用好它们就必须掌握数据与机械装置之间的内在联系。本课程可使维修人员及汽车爱好者学会用空气流量、喷油修正量和氧传感器信号排除与汽车动力系统有关的各种故障，并对汽车性能做出定量的评估。

In car troubleshooting, data streams are the most effective tool to help us form diagnostic ideas, and to make good use of them, we must master the internal connection between data and mechanical devices. This course enables mechanics and DIYers to learn to use air flow, fuel trim and oxygen sensor signals to find out the root cause of faults related to the powertrain , and to make quantitative assessments the performance.