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Degradation Modeling and Residual Life Prediction Based on Nonlinear Wiener Process

In: Advances in Reliability and Maintainability Methods and Engineering Applications

Author

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  • Bo Guo

    (National University of Defense Technology)

Abstract

Residual life estimation plays a significant role in scheduling maintenance activities for high-reliability products. In the literature, most of the existing studies dealt with this issue by considering only one-dimensional performance characteristic. However, it may be unreasonable since a product can have multiple performance characteristics. Generally, these performance characteristics are dependent due to the common influences from the environments. Moreover, the nonlinearity of the product’s degradation process should also be taken into account. In this chapter, degradation models based on nonlinear Wiener process is presented to address the issue under univariate and multivariate situations. Based on the proposed method, a closed-form of the probability density function (PDF) of the product’s residual life can be approximately obtained. Numerical examples concerning fatigue cracks demonstrate the validity of the proposed method.

Suggested Citation

  • Bo Guo, 2023. "Degradation Modeling and Residual Life Prediction Based on Nonlinear Wiener Process," Springer Series in Reliability Engineering, in: Yu Liu & Dong Wang & Jinhua Mi & He Li (ed.), Advances in Reliability and Maintainability Methods and Engineering Applications, pages 445-474, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-28859-3_18
    DOI: 10.1007/978-3-031-28859-3_18
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    Cited by:

    1. Weixin Yang & Yu Wang & Kai Liang & Yangfan Zhang & Shiyu Lin & Hongshan Zhao, 2023. "Method for Evaluating the Reliability and Competitive Failure of Wind Turbine Gearbox Bearings Considering the Fault Incubation Point," Energies, MDPI, vol. 16(14), pages 1-16, July.

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