PSAM 16 Conference Paper Overview
Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Martin Dazer Co-author(s): Alexander Grunder; alexander.grundler@ima.uni-stuttgart.de
Achim Benz; achim.benz@ima.uni-stuttgart.de
Philipp Mell; philipp.mell@ima.uni-stuttgart.de
Marco Arndt; marco.arndt@ima.uni-stuttgart.de
| Risk based reliability demonstration test planning for decision making under uncertainty |
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| Reliability assurance by empirical data collected from lifetime tests is always subject to uncertainty and thus to a risk of making wrong decisions. The type-I statistical error is quantified and minimized over the generally known confidence interval to ensure that the reliability of the population in field operation is valid. The type-II statistical error quantifies the risk of a failed reliability test and thus the producer risk. A failed test generally means further iteration loops in the assurance process and should be avoided accordingly. However, in the context of reliability assurance, the type-II error is often neglected and consequently it is not known how high the probability of successful reliability demonstration is with the chosen test strategy. In this paper, a new method is presented that allows a calculation of the type-II error based on prior knowledge, which is called probability of test success (Pts). Pts enables the objective comparison of available test strategies for scenarios with a wide variety of boundary conditions such as accelerated testing, system and component testing or different reliability targets. In the end, the test strategy and the required number of specimens can be determined, which has the lowest residual risk under the available budget. |
Paper DA21 Preview
Author and Presentation Info
Lead Author Name: Martin Dazer (dazer@ima.uni-stuttgart.de)
Bio: Martin Dazer is a researcher with a special focus on Reliability Engineering. He is working as the Head of the Reliability & Driveline Department at the Institute of Machine Components from the University of Stuttgart. He is supervising about 15 Phd students and 10 national and international research projects. The research focus of the Department is on Life Test planning & Reliability Demonstration, Life data analysis, Availability of repairable systems, Prognostics & Health Management and Reliability in Driveline Applications. Martin Dazer holds a Doctoral degree in Reliability Engineering and is also a Reliability Black Belt.
Country: Germany
Company: University of Stuttgart
Job Title: Head of Department
Bio: Martin Dazer is a researcher with a special focus on Reliability Engineering. He is working as the Head of the Reliability & Driveline Department at the Institute of Machine Components from the University of Stuttgart. He is supervising about 15 Phd students and 10 national and international research projects. The research focus of the Department is on Life Test planning & Reliability Demonstration, Life data analysis, Availability of repairable systems, Prognostics & Health Management and Reliability in Driveline Applications. Martin Dazer holds a Doctoral degree in Reliability Engineering and is also a Reliability Black Belt.
Country: Germany
Company: University of Stuttgart
Job Title: Head of Department