Abstract
In this paper, a novel multi-objective framework for designing accelerated degradation tests (ADTs) is developed under Wiener process model. The framework aims at providing aids to balance prediction accuracy and mechanism equivalence of a specific ADT. To achieve this, a new optimization criterion, named as the MV-optimization criterion, is firstly proposed by using the maximum likelihood theory. Then, under the cost constraint, a nonlinear optimization problem is constructed. Finally, a comparison is carried out between our multi-objective optimal plan and other traditional single-objective plans through the case of electrical connector. Results show that the MV-optimization plan has better properties from the perspective of improving the rationality of prediction and the robustness of test plans.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 |
| Publisher | IEEE Computer Society |
| Pages | 1709-1713 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538667866 |
| DOIs | |
| State | Published - 2 Jul 2018 |
| Event | 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, Thailand Duration: 16 Dec 2018 → 19 Dec 2018 |
Publication series
| Name | IEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Volume | 2019-December |
| ISSN (Print) | 2157-3611 |
| ISSN (Electronic) | 2157-362X |
Conference
| Conference | 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 16/12/18 → 19/12/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Accelerated degradation test
- mechanism equivalence
- multi-objective optimization
- prediction accuracy
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