Abstract
In this paper, a testing for highly automated function (HAF) is adapted from the automotive industry to therapeutic medical devices. It contains different steps to achieve a safety argumentation: First, scenarios of interest (SoI) based on a systematic generalization of failure mode and effect analysis (FMEA) are identified, then the concrete scenarios are generated using design of experiment (DoE). These scenarios are simulated virtually and physically and are then evaluated. The procedure is explained with the use of examples.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | At-Automatisierungstechnik |
| Jahrgang | 70 |
| Ausgabenummer | 11 |
| Seiten (von - bis) | 946-956 |
| Seitenumfang | 11 |
| ISSN | 0178-2312 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.11.2022 |
Fördermittel
Research funding: S. Henn and F. Schollemann were supported by the “Cross-Innovation-Center–TANDEM Phase III (TANDEM III-CIC)” LPW-E/1.1.1/1521. G. Männel and M. Angern were supported by the European Union–European Regional Development Fund (ERDF), the Federal Government and Land Schleswig Holstein, Project No. 12420002. B. Kabuth was supported by “Medical Cause and Effects Analysis” within the AI funding policy of Schleswig Holstein (“KI-Förderrichtlinie”, Project No. 220 21 011). We thank Charlott Danielson (Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering) for her critical review of regarding regulatory aspects of this project.
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 9 – Industrie, Innovation und Infrastruktur
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