Failure Rates from Data of Field Returns
- To determine failure rates is a challenge, if there are only a few failures and typical failure rates are low. As an application example we are interested in failure rates of electrical automotive components for automated/autonomous driving. As method we focus here on the exploitation of field data. Our contribution classifies different approaches from statistics and shows how this can be applied to real-world production figures as available in industry.
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| Author: | Sven-Joachim KimmerleORCID, Karl Dvorsky, Hans-Dieter Liess |
|---|---|
| DOI: | https://doi.org/10.34726/9011 |
| Parent Title (English): | MATHMOD Short Contribution Volume 2025 |
| Publisher: | reposiTUm, TU Wien |
| Place of publication: | Wien |
| Document Type: | conferenceproceedings |
| Language: | English |
| Publication Year: | 2025 |
| Contributing Corporation: | TH Rosenheim; Physical Software Solutions GmbH; UniBw München |
| Conference: | 11th Vienna International Conference on Mathematical Modelling (Wien) |
| Release Date: | 2025/04/28 |
| Tag: | automotive vehicle electrical systems; autonomous driving; failure rates; modelling uncertainties and stochastic systems; reliability |
| GND Keyword: | Mathematische Modellierung; Entscheidung bei Unsicherheit; Bordnetz; Reliabilität; Konfidenzbereich |
| Page Number: | 2 |
| First Page: | 23 |
| Last Page: | 24 |
| Peer reviewed: | Ja |
| conference date: | 19.-21.02.2025 |
| faculties / departments: | Fakultät für Angewandte Natur- und Geisteswissenschaften |
| Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 51 Mathematik |
| 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
