Scalable Data-based Diagnostic Concept - Scalability Measures

This paper presents the scalable data-based diagnostic concept with a focus on the scalability measures which should support the user of the concept in preselecting an appropriate method. For this purpose, measures for the data distribution as well as measures for the dependency structure of the data are analyzed on the basis of real vehicle data. It is assumed that there is no prior knowledge regarding the data structures, so that only the normal data (without fault case) is available for the analysis. The goal is to investigate the measures under real application and to prepare them for use within the diagnostic concept. Finally, a representation form for the user is presented, which should give a first impression of the data for the selection of the diagnosis method.