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A Novel Lifetime Estimation Method for Two-Phase Degrading Systems

机译:两相降解系统的新型寿命估计方法

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摘要

Due to the inner deteriorating mechanism or the mutant environmental stress, the degradation systems with multiphase features have frequently been encountered in engineering practice. The key issue for prognostics of such systems is to account for the impact of the changing-point variability and the associated degradation state at this point on the progression of the degradation process. However, current studies usually treat the degradation state at the change point as a fixed value rather a random variable. Thus, it is still challenging to predict the lifetime of such multiphase degrading systems. To this end, we first formulate a general degradation modeling framework based on a two-phase Wiener process. In prognostics, we take into full account the uncertainty of the degradation state at the changing point and then derive the analytical expressions of the lifetime and remaining useful life under the concept of the first passage time. The derived results are distinguished from existing results limited to the fixed state at the changing point. Furthermore, we extend our approach and results to cases with unit-to-unit variability and multiple phases. To facilitate the model implementation, we propose both offline and online methods for parameter identification, which make full use of the historical data and the in-service data. Finally, a numerical simulation and a practical case study are provided for illustration.
机译:由于内部劣化机制或突变环境应力,在工程学实践中经常遇到具有多相特征的降解系统。这些系统的预后性的关键问题是在劣化过程的进展上解释变化点变异性和相关的降解状态的影响。然而,目前的研究通常通常将变化点处的劣化状态视为固定值而不是随机变量。因此,预测这种多相降级系统的寿命仍然具有挑战性。为此,我们首先根据两阶段维纳过程制定一般退化建模框架。在预测中,我们充分考虑了改变点处的降解状态的不确定性,然后在第一次通过时间的概念下获得寿命的分析表达和剩余的使用寿命。导出的结果与在变化点处的固定状态限制为固定状态的结果。此外,我们将我们的方法扩展并导致单元到单位可变性和多个阶段的情况。为了促进模型实现,我们提出了用于参数识别的离线和在线方法,这是充分利用历史数据和在线数据。最后,提供了一个数字模拟和实际案例研究。

著录项

  • 来源
    《IEEE Transactions on Reliability 》 |2019年第2期| 689-709| 共21页
  • 作者单位

    Xian Res Inst High Tech Dept Automat Xian 710048 Shaanxi Peoples R China;

    Xian Res Inst High Tech Dept Automat Xian 710048 Shaanxi Peoples R China;

    Tsinghua Univ Dept Automat Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R China;

    Xian Res Inst High Tech Dept Automat Xian 710048 Shaanxi Peoples R China;

    Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao 266590 Shandong Peoples R China;

    Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao 266590 Shandong Peoples R China|Tsinghua Univ Dept Automat Beijing 100084 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Degradation; life prognostics; multi-phase Wiener process; reliability; remaining useful life (RUL) estimation;

    机译:退化;寿命预测;多相维纳工艺;可靠性;剩余使用寿命(rul)估计;

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