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Use of Confidence Limits to Set Robust On-Board Diagnostic Thresholds

机译:使用置信度限制设置可靠的机载诊断阈值

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摘要

Vehicles sold in the United States and Europe are equipped with a specific set of legal diagnostics, called on-board diagnostics; these are used to monitor the performance of various elements of the emission control system. The driver is informed of any failures by the use of a Check Engine Light on the dashboard of the vehicle and then should return the vehicle to the dealership for rectification. The vehicle manufacturer's aim is to ensure that the Check Engine Light is only illuminated for legitimate failures. For the calibration of an on-board diagnostics, there needs to be sufficient separation between the response of a good sensor and a failed sensor; the setting of this threshold should be based upon a statistical model of the data so that the predicted failures rate can then be determined. An additional benefit of obtaining a statistical model is that it allows confidence limits to be applied to the data; this then gives the engineer the ability to determine the trade-off between the number of data points and the confidence in the estimated statistical model.
机译:在美国和欧洲销售的车辆配备了一套特定的法律诊断程序,称为车载诊断程序;这些用于监视排放控制系统各个要素的性能。通过使用车辆仪表板上的检查引擎灯将任何故障通知驾驶员,然后应将车辆交还给经销商进行纠正。车辆制造商的目的是确保检查引擎灯仅在出现合法故障时才亮起。为了对车载诊断程序进行校准,好的传感器和故障传感器的响应之间必须有足够的距离。该阈值的设置应基于数据的统计模型,以便可以确定预测的故障率。获得统计模型的另一个好处是,它允许对数据应用置信度限制;这样,工程师便能够确定数据点数量与估计的统计模型的置信度之间的折衷。

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