@inproceedings{KimmerleDvorskyLiess2025,
  author    = {Kimmerle, Sven-Joachim and Dvorsky, Karl and Liess, Hans-Dieter},
  title     = {Failure Rates from Data of Field Returns - How to Prove High Reliability for Electric Components?},
  booktitle = {MATHMOD 2025 (11th Vienna International Conference on Mathematical Modelling)},
  organization    = {TH Rosenheim; Physical Software Solutions; UniBw M{\"u}nchen},
  url       = {https://nbn-resolving.org/urn:nbn:de:bvb:861-opus4-29421},
  institution = {Fakult{\"a}t f{\"u}r Angewandte Natur- und Geisteswissenschaften},
  pages     = {1},
  year      = {2025},
  abstract  = {To determine failure rates is a challenge, if there are only a few failures and a low failure rate should be checked. As an application example, we are interested in failure rates of electrical automotive components for automated/autonomous driving. Basically, three methods are common: (i) exploitation of field data, (ii) standardized handbooks with failure rates, e.g. the FIDES guide, and (iii) laboratory long term exposure tests. We discuss shortly the (dis)advantages of each method and focus on the statistics behind method (i). Moreover, our poster sketches how this can be applied to data as available in industry.},
  subject      = {Reliabilit{\"a}t},
  language  = {en}
}