Title :
Use of Generalised Pareto models to set On-Board Diagnostic failure thresholds
Author :
King, Paul J. ; Burnham, Keith J.
Author_Institution :
Powertrain Control Syst. & Calibration, Jaguar Land Rover Ltd., Coventry, UK
Abstract :
Vehicles sold in the US and Europe have to be equipped with a Diagnostics, called OnBoard Diagnostics (OBD), which monitor the performance of various elements of the emission control system. The driver is informed as to 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 that of 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. In practice generating a statistical model which is appropriate for the setting of fault thresholds can prove difficult. In this paper this issue is resolved by making use of an extreme statistics method, Generalised Pareto Distribution model to allow a threshold for an Airflow Sensor diagnostic to be set.
Keywords :
Pareto distribution; aerodynamics; automobile manufacture; automotive components; fault diagnosis; flow sensors; Europe; US; airflow sensor diagnostic; check engine light; emission control system; fault thresholds; generalised Pareto distribution model; on-board diagnostic failure thresholds; performance monitoring; statistical model; Automobiles; Detection; Diagnosis; Engines;
Conference_Titel :
Control 2010, UKACC International Conference on
Conference_Location :
Coventry
Electronic_ISBN :
978-1-84600-038-6
DOI :
10.1049/ic.2010.0340