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OBD Using Statistical Pattern Recognition
Technical Paper
2000-01-3104
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A new OBD approach using statistical pattern recognition, applied to the monitoring of the efficiency of catalytic converters, is introduced. Usually, because of the cost of engine electronic control units, automotive On-Board Diagnosis is achieved using mono-dimensional decision techniques. Decision thresholds are then tuned manually. Finally, diagnosis is accomplished under very restrictive operating conditions. The paper shows how statistical pattern recognition enables multi-dimensional data treatment by using the system current operating point in order to make a final decision. In the meantime, automatic calibration is possible through pattern recognition systems learning skills.
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Authors
Citation
Boatas, A., Dillies-Peltier, M., and Dubuisson, B., "OBD Using Statistical Pattern Recognition," SAE Technical Paper 2000-01-3104, 2000, https://doi.org/10.4271/2000-01-3104.Also In
References
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