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Remaining useful life prediction for an adaptive skew-Wiener process model

机译:自适应偏斜维纳过程模型的剩余使用寿命预测

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摘要

Predicting the remaining useful life for operational devices plays a critical role in prognostics and health management. As the models based on the stochastic processes are widely used for characterizing the degradation trajectory, an adaptive skew-Wiener model, which is much more flexible than traditional stochastic process models, is proposed to model the degradation drift of industrial devices. To make full use of the prior knowledge and the historical information, an online filtering algorithm is proposed for state estimation, a two-stage algorithm is adopted to estimate unknown parameters as well. For remaining useful life prediction, a novel result is presented with an explicit form based on the closed skew normal distribution. Finally, sufficient Monte Carlo simulations and an application for ball bearings in rotating electrical machines are used to validate our approach.
机译:预测操作设备的剩余使用寿命在预测和健康管理中起着至关重要的作用。由于基于随机过程的模型被广泛用于表征退化轨迹,因此提出了一种比传统的随机过程模型更灵活的自适应偏斜维纳模型来对工业设备的退化漂移进行建模。为了充分利用先验知识和历史信息,提出了一种在线滤波的状态估计算法,并采用了两阶段算法来估计未知参数。对于剩余使用寿命的预测,将基于封闭的偏斜正态分布以显式形式给出新颖的结果。最后,充分的蒙特卡洛模拟和在旋转电机中的球轴承的应用被用来验证我们的方法。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2017年第ptaa期|294-306|共13页
  • 作者单位

    The State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou310027, China;

    The State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou310027, China;

    The State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou310027, China;

    The State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou310027, China;

    The State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou310027, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Adaptive drift; Closed skew normal distribution; Remaining useful life prediction; Wiener process;

    机译:自适应漂移闭合偏正态分布;剩余使用寿命预测;维纳过程;

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