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Physics of failure as a basis for solder elements reliability assessment in wind turbines

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  • Kostandyan, Erik E.
  • Sørensen, John D.

Abstract

Traditionally assessment of reliability of electrical components is done by classical reliability techniques using failure rates as the basic measure of reliability. In this paper a structural reliability approach is applied in order to include all relevant uncertainties and to give a more detailed description of the reliability. A physics of failure approach is applied. A SnAg solder component used in power electronics is used as an example. Crack propagation in the SnAg solder is modeled and a model to assess the accumulated plastic strain is proposed based on a physics of failure approach. Based on the proposed model it is described how to find the accumulated linear damage and reliability levels for a given temperature loading profile. Using structural reliability methods the reliability levels of the electrical components are assessed by introducing scale factors for stresses.

Suggested Citation

  • Kostandyan, Erik E. & Sørensen, John D., 2012. "Physics of failure as a basis for solder elements reliability assessment in wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 100-107.
    • Handle: RePEc:eee:reensy:v:108:y:2012:i:c:p:100-107
    DOI: 10.1016/j.ress.2012.06.020
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    References listed on IDEAS

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    1. John D. Sørensen & Henrik S. Toft, 2010. "Probabilistic Design of Wind Turbines," Energies, MDPI, vol. 3(2), pages 1-17, February.
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    Cited by:

    1. Maheri, Alireza, 2014. "A critical evaluation of deterministic methods in size optimisation of reliable and cost effective standalone hybrid renewable energy systems," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 159-174.
    2. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.
    3. Gu, Hang-Hang & Wang, Run-Zi & Tang, Min-Jin & Zhang, Xian-Cheng & Tu, Shan-Tung, 2024. "Data-physics-model based fatigue reliability assessment methodology for high-temperature components and its application in steam turbine rotor," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    4. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    5. Sun, Bo & Fan, Xuejun & van Driel, Willem & Cui, Chengqiang & Zhang, Guoqi, 2018. "A stochastic process based reliability prediction method for LED driver," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 140-146.
    6. Li, Y.F. & Valla, S. & Zio, E., 2015. "Reliability assessment of generic geared wind turbines by GTST-MLD model and Monte Carlo simulation," Renewable Energy, Elsevier, vol. 83(C), pages 222-233.
    7. Cristina Morel & Jean-Yves Morel, 2024. "Power Semiconductor Junction Temperature and Lifetime Estimations: A Review," Energies, MDPI, vol. 17(18), pages 1-29, September.

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