RESEARCH PAPER
An approach in determining the critical level of degradation based on results of accelerated test
1
University of Defence, Faculty of Military Technology, Kounicova 65, 66210, Brno, Czech Republic
2
Lublin University of Technology, Mechanical Engineering Faculty, ul. Nadbystrzycka 36, 20-618 Lublin, Poland
Publication date: 2022-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(2):330-337
HIGHLIGHTS
- Degradation measurement of LEDs in the frame of accelerated tests.
- Method for determination of the degradation threshold based on the failure data.
- Determination of degradation threshold using classical approach.
- Determination of degradation threshold using Wiener Process-based model.
KEYWORDS
ABSTRACT
Nowadays, systems are more complex and require high reliability for their components, especially critical system components. Therefore, to avoid serious damage, system are often replaced before the actual failure. The replaced parts are considered to have “soft failure”, and the limit in which the parts are replaced is known as the critical level of the degradation process. Determining the appropriate value of the critical level for a product is an important problem in their exploitation, as well as for predicting the Mean Time to Failure (MTTF) or Remaining Useful Lifetime (RUL) of this product based on the degradation data by the mathematical models. In this article, an approach in determining the critical levels based on failure data from an accelerated test is introduced. This approach is applied with the degradation process of Light-Emitting Diodes (LED) in an accelerated test and a type of Wiener process-based model is used to predict the MTTF or RUL of LED based on their degradation data and the found critical level.
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CITATIONS (2):
1.
Cyclic stress accelerated life test method for mechatronic products
Yashun Wang, Jingwen Hu, Shufeng Zhang, Xun Chen
Quality and Reliability Engineering International
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Quality and Reliability Engineering International
2.
Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis
D. Valis, L. Zak, I Z. Vintr
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
D. Valis, L. Zak, I Z. Vintr
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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| ISSN: | 1507-2711 |
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