ANALYSIS OF VEHICLE DATA TO PREDICT COMPONENT FAILURE
    1.
    发明申请
    ANALYSIS OF VEHICLE DATA TO PREDICT COMPONENT FAILURE 有权
    车辆数据分析预测组件故障

    公开(公告)号:US20160035150A1

    公开(公告)日:2016-02-04

    申请号:US14447235

    申请日:2014-07-30

    CPC classification number: G07C5/008 G05B23/0254 G07C5/0841

    Abstract: Vehicle data may be analyzed to predict potential component failures, diagnostic trouble codes (DTCs), or other mechanical failures relating to the vehicle. In one implementation the vehicle data may be received from a number of vehicles, the vehicle data including DTCs generated by on-board diagnostic (OBD) systems of the vehicles. The vehicle data may be evaluated using a predictive model to output predictions of DTCs that are likely to occur for a particular vehicle.

    Abstract translation: 可以分析车辆数据以预测潜在的部件故障,诊断故障代码(DTC)或与车辆相关的其他机械故障。 在一个实施方案中,可以从多个车辆接收车辆数据,车辆数据包括由车辆的车载诊断(OBD)系统产生的DTC。 可以使用预测模型来评估车辆数据,以输出对特定车辆可能发生的DTC的预测。

Patent Agency Ranking