pictogram System Reliability Demonstration

Research Project: System Reliability Demonstration Using Prior Knowledge

Institute of Machine Components (IMA)

System Reliability Demonstration Considering Uncertainty of Prior Knowledge

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Today's products are equipped with a wide range of functions and components. This enables the necessary competitiveness in times of digitalization, but also causes a large number of potential system failure causes. The validation of such systems and especially the demonstration of system reliability is a challenge. With available prior knowledge, an efficient validation strategy can be achieved by combining different test types and different test levels, such as system, subsystem, component and unit tests, using the concept of Probability of Test Success and Bayes' theorem. In doing so, the available information is used comprehensively and according to its quality for planning the validation tests.

> detailed project description (.pdf)

Publications

  1. Grundler, Alexander ; Dazer, Martin ; Bertsche, Bernd: Efficient Reliability Demonstration using the Probability of Test Success and Bayes Theorem. In: , 2022 — IMA-ZUV 393 (peer-review)
  2. Göldenboth, Marcel ; Grundler, Alexander ; Dazer, Martin: Reliability Demonstration of the Entirety of Cells from a High-Voltage Battery Using Prior Knowledge of Degradation Simulations. In: , 2022. — ISBN 978-981-18-5183-4 — IMA-ZUV 400 (peer-review)
  3. Grundler, Alexander ; Dazer, Martin ; Herzig, Thomas: Statistical Power Analysis in Reliability Demonstration Testing: The Probability of Test Success Bd. 12 (2022) — IMA-ZUV 388 (peer-review)
  4. Grundler, Alexander ; Dazer, Martin ; Bertsche, Bernd: Effect of Uncertainty in Prior Knowledge on Test Planning for a Brake Caliper using the Probability of Test Success. In: : IEEE, 2021. — ISBN 978-1-7281-8017-5 — IMA-ZUV 364 (peer-review)
  5. Benz, Achim ; Grundler, Alexander ; Dazer, Martin ; Bertsche, Bernd: Deriving Prior Knowledge from Lifetime Simulations for Reliability Demonstration while Considering the Uncertainty of the Lifetime Model. In: : Research Publishing, Singapore, 2021. — ISBN 978-981-18-2016-8 — IMA-ZUV 375 (peer-review)
  6. Dazer, Martin ; Grundler, Alexander ; Herzig, Thomas ; Engert, Daniel ; Bertsche, Bernd: Effect of Interval Censoring on the Probability of Test Success in Reliability Demonstration. In: , 2021 — IMA-ZUV 363 (peer-review)
  7. Grundler, Alexander ; Dazer, Martin ; Herzig, Thomas ; Bertsche, Bernd: Efficient System Reliability Demonstration Tests Using the Probability of Test Success. In: : Research Publishing, Singapore, 2021. — ISBN 978-981-18-2016-8 — IMA-ZUV 374
  8. Grundler, Alexander ; Göldenboth, Marcel ; Stoffers, Frédéric ; Dazer, Martin ; Bertsche, Bernd: Effiziente Zuverlässigkeitsabsicherung durch Berücksichtigung von Simulationsergebnissen am Beispiel einer Hochvolt-Batterie. In: . Düsseldorf : VDI Verlag GmbH, 2021. — ISBN 978-3-18-092377-2, S. 75–88 — IMA-ZUV 359 (peer-review)
  9. Herzig, Thomas ; Dazer, Martin ; Grundler, Alexander ; Bertsche, Bernd: Integrating Accelerated Life Tests into Optimal Test Planning. In: , 2020, S. 665–672 — IMA-ZUV 341
  10. Dazer, Martin ; Grundler, Alexander ; Herzig, Thomas ; Bertsche, Bernd: R-OPTIMA - Optimal Planning of Reliability Tests. In: : INEGI-Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, 2020. — ISBN 978-989-54756-1-2, S. 665–672 — IMA-ZUV 342
  11. Grundler, Alexander ; Dazer, Martin ; Herzig, Thomas ; Bertsche, Bernd: CONSIDERING MULTIPLE FAILURE MECHANISMS IN OPTIMAL TEST DESIGN. In: , 2020, S. 673–682 — IMA-ZUV 340
  12. Grundler, Alexander ; Dazer, Martin ; Bertsche, Bernd: Reliability-Test Planning Considering Multiple Failure Mechnaisms and System Levels – An Approach for Identifying the Optimal System-Test Level, Type, and Configuration with Regard to Individual Cost and Time Constraints. In: , 2020 — IMA-ZUV 334 (peer-review)
  13. Göldenboth, Marcel ; Grundler, Alexander ; Bertsche, Bernd: Reliability demonstration within the framework of event-based endurance testing considering prior knowledge. In: , 2020 — IMA-ZUV 335 (peer-review)
  14. Bartholdt, M. ; Grundler, A. ; Bertsche, B.: Lernen aus Erfahrungen Bd. Jahrgang 64, Verlag, Hanser (2019), S. S. 52 – 55 — IMA-ZUV 307 (peer-review)
  15. Herzig, Thomas ; Grundler, Alexander ; Dazer, Martin ; Bertsche, Bernd: Cost- and Time-effective Planning of Accelerated Reliability Demonstration Tests - A new Approach of comparing the Expenditure of Success Run and End-of-Life Tests. In: , 2019 — IMA-ZUV 312 (peer-review)
  16. Grundler, Alexander ; Bollmann, Martin ; Obermayr, Martin ; Bertsche, Bernd: Berücksichtigung von Lebensdauerberechnungen als Vorkenntnis im Zuverlässigkeitsnachweis. In: . Bd. 2345 : VDI, 2019. — ISBN 978-3-18-092345-1 — IMA-ZUV 326
  17. Grundler, Alexander ; Bollmann, Martin ; Obermayr, Martin ; Bertsche, Bernd: Berücksichtigung von Berechnungs- und Simulationsergebnissen als Vorkenntnis in der Zuverlässigkeitsprognose und Testplanung. Brief. — IMA-ZUV 369 (präsentation)
  18. Grundler, Alexander ; Bartholdt, Michael ; Bertsche, Bernd: Statistical test planning using prior knowledge – advancing the approach of Beyer and Lauster. In: , 2018. — ISBN 9781351174657, S. 809–814 — IMA-ZUV 297 (peer-review)
  19. Bartholdt, Michael ; Grundler, Alexander ; Bollmann, Martin ; Bertsche, Bernd: Assurance of the System Reliability of a Gearbox Considering Prior Knowledge. In: , 2018, S. 965–974 — IMA-ZUV 296 (peer-review)

Contact

This image shows Martin Dazer

Martin Dazer

Dr.-Ing.

Head of Reliability |
Drive Train Diagnostics and Prognostics

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