Lifetime prediction for tantalum capacitors with multiple degradation measures and particle swarm optimization based grey model |
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Authors: | Jiao-ying Huang Cheng Gao Wei Cui and Liang Mei |
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Affiliation: | School of Reliability and System Engineering, Beihang University, Beijing 100191, China |
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Abstract: | A lifetime prediction method for high-reliability tantalum (Ta) capacitors was proposed, based on multiple degradation measures
and grey model (GM). For analyzing performance degradation data, a two-parameter model based on GM was developed. In order
to improve the prediction accuracy of the two-parameter model, parameter selection based on particle swarm optimization (PSO)
was used. Then, the new PSO-GM(1, 2, ω) optimization model was constructed, which was validated experimentally by conducting an accelerated testing on the Ta capacitors.
The experiments were conducted at three different stress levels of 85, 120, and 145 °C. The results of two experiments were
used in estimating the parameters. And the reliability of the Ta capacitors was estimated at the same stress conditions of
the third experiment. The results indicate that the proposed method is valid and accurate. |
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Keywords: | accelerated degradation test capacitor multiple degradation measure particle swarm optimization grey model |
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