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Reliability Assessment of Solder Joints in Power Electronic Modules by Crack Damage Model for Wind Turbine Applications

Author

Listed:
  • Erik E. Kostandyan

    (Department of Civil Engineering, Aalborg University, Sohngaardsholmsvej 57, DK-9000 Aalborg, Denmark)

  • John D. Sørensen

    (Department of Civil Engineering, Aalborg University, Sohngaardsholmsvej 57, DK-9000 Aalborg, Denmark)

Abstract

Wind turbine reliability is an important issue for wind energy cost minimization, especially by reduction of operation and maintenance costs for critical components and by increasing wind turbine availability. To develop an optimal operation and maintenance plan for critical components, it is necessary to understand the physics of their failure and be able to develop reliability prediction models. Such a model is proposed in this paper for an IGBT power electronic module. IGBTs are critical components in wind turbine converter systems. These are multilayered devices where layers are soldered to each other and they operate at a thermal-power cycling environment. Temperature loadings affect the reliability of soldered joints by developing cracks and fatigue processes that eventually result in failure. Based on Miner’s rule a linear damage model that incorporates a crack development and propagation processes is discussed. A statistical analysis is performed for appropriate model parameter selection. Based on the proposed model, a layout for component life prediction with crack movement is described in details.

Suggested Citation

  • Erik E. Kostandyan & John D. Sørensen, 2011. "Reliability Assessment of Solder Joints in Power Electronic Modules by Crack Damage Model for Wind Turbine Applications," Energies, MDPI, vol. 4(12), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:12:p:2236-2248:d:15239
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    Citations

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    Cited by:

    1. Bo-Ying Liu & Gao-Sheng Wang & Ming-Lang Tseng & Zhi-Gang Li & Kuo-Jui Wu, 2018. "New Energy Empowerment Using Kernel Principal Component Analysis in Insulated Gate Bipolar Transistors Module Monitoring," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
    2. Yancai Xiao & Ruolan Dai & Guangjian Zhang & Weijia Chen, 2017. "The Use of an Improved LSSVM and Joint Normalization on Temperature Prediction of Gearbox Output Shaft in DFWT," Energies, MDPI, vol. 10(11), pages 1-13, November.
    3. Mansouri, M.Mahdi & Nayeripour, Majid & Negnevitsky, Michael, 2016. "Internal electrical protection of wind turbine with doubly fed induction generator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 840-855.
    4. Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    5. Zilang Hu & Xinglai Ge & Dong Xie & Yichi Zhang & Bo Yao & Jian Dai & Fengbo Yang, 2019. "An Aging-Degree Evaluation Method for IGBT Bond Wire with Online Multivariate Monitoring," Energies, MDPI, vol. 12(20), pages 1-18, October.
    6. 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.

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