The Fortune 500 automotive OEM had a small physical test sample size for a specific vehicle which predicted a DTC (Diagnostic Trouble Code) occurring at an acceptably low frequency. However, after the vehicle went into production customer DTC data recorded by OBD (On Board Diagnostic) shows a much higher frequency. The OEM wanted to determine which vehicle operating conditions were linked to each DTC event and use that to determine root cause.
Analyze vehicle information uploaded at the time of the DTC to statistically determine causal relationships between vehicle operating status and DTC events.
Several vehicle status markers were identified as important in distinguishing the likelihood of a DTC event. Vehicle status markers which can be used to predict mileage when a DTC will be reported have also been determined. This provides the necessary basis for root cause analysis and predictive maintenance.
