2018 | OriginalPaper | Buchkapitel
Visualizing different kinds of vehicle stress and usage
verfasst von : Philipp Bergmeir
Erschienen in: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data
Verlag: Springer Fachmedien Wiesbaden
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
At the end of the previous chapter a motivation is given, why an algorithm is strongly needed that is able to identify whether two faulty vehicles are likely to suffer from the same type of failure or not. Thereby, it is only known that the same component of these two cars has failed. Moreover, the method should draw its conclusion exclusively on the basis of the load spectrum data of these vehicles.