The goal of the failure analysis is to identify the main components in a vehicle which caused a final malfunction. Manual Identification of the error cause consumes many resources and time. The aim of the project is to develop an automatic classification system for a precise and fast detection of erroneous components to reduce the efforts.
We build a support vector machine based classifier for automatic identification of the erroneous components based on the error codes extracted from a damaged vehicle.
Results and Impact
Our preliminary results demonstrated that a precise identification of the failure cause can be achieved with an accuracy >= 85 % which might significantly reduce logistic costs and the need for human resources.
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