In this paper we evaluate the presence of anomalies in the Engine Coolant Temperature (ECT) sensor operation by collecting telemetry data of a single car in two different operational modes. The proposed approach has evaluated ten different one-class classifiers in three different anomaly levels, defined from the sensor's malfunctioning. Based on the results from the experimental data, the evaluation has shown: the One-Class Support Vector Machine with third- degree polynomial kernel function as the best anomaly detection technique for the vehicle operation in movement trajectory and the k-nearest neighbor as the best technique for the vehicle stopped, but with the engine running.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detecting Anomalies in the Engine Coolant Sensor Using One-Class Classifiers




    Erscheinungsdatum :

    2019-09-01


    Format / Umfang :

    269039 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ENGINE COOLING SYSTEM HAVING COOLANT TEMPERAUTRE SENSOR

    YANG KWANG SIK / KIM JONG MIN / JANG MIN SEOK et al. | Europäisches Patentamt | 2017

    Freier Zugriff

    Engine coolant recycling

    Online Contents | 1993


    Effects of Nanofluid Coolant in a Class 8 Truck Engine

    Rizwan-uddin / France, D. M. / Routbort, J. L. et al. | SAE Technical Papers | 2007


    Engine coolant recycling

    Kraftfahrwesen | 1993


    Engine Coolant Pump Seals

    SAE Technical Papers | 2002