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The main aim of this paper is the analysis of a fleet behavior and comparison of damaged and non-damaged vehicles using different machine learning algorithms to identify the main distinctions in a car fleet. For this purpose OBD (On Board Diagnostics) signals are recorded in three various car types (BMW X3, Peugeot 208, Seat Leon) and several hundred drives. Furthermore, thousands of drives are simulated...
This paper shows the results of the research work with regard to optimization of test procedures based on systematic analysis of field behavior. The presented approach outlines all important steps of the overall process, the statistical methods and algorithms used with the help of an example from the automotive industry. The example is based on the data gathered during various rides with four different...
This paper shows the results of research work regarding analysis procedures for prototype test results, based on heterogeneous prototype characteristics and limited data within the early phase of product development. The research activities were applied within a case study “Organic fibre prototype analysis” from the chemical process industry. An example of an organic fibre is cotton. The research...
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