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2021
Conference Paper
Titel
Effizienzsteigerung in der Erprobung durch das strategische Validieren von Annahmen
Alternative
Increase in efficiency in testing due to the strategic validation of assumptions
Abstract
System testing is an essential part of the release strategy in the product development of safety-relevant components. In addition to the economic and time expenses that are inevitably associated with experimental testing, the statistical significance in terms of its robustness must be questioned due to the small sample size, even if samples in the final design phase are available in time. If the test time is reached without a failure, the result is considered as a success run. This makes the statistical evaluation even more difficult. Instead of an exact lifetime, i.e. operating time, only a minimum statement in the form of a minimum reliability is possible. This is associated with a confidence. The determined minimum reliability is often significantly lower than the real reliability. Therefore, it is impossible to increase reserves or lightweight potentials. Furthermore, extrapolation to a reliability in the ppm range is only possible to a limited extent. To solve thes e challenges, this paper presents a method that does not focus on statistical reliability verification in testing, instead considering testing as a validation of assumptions. The aim of this approach is to significantly reduce the sample size in system testing. The smaller sample size is to be compensated by targeted analyses of the component-related material behavior. For this purpose, it is necessary to methodically review and systematically evaluate the assumptions. This procedure is presented as an example in this paper.
Author(s)