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Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab

机译：Prognostics 101：使用Matlab的基于粒子过滤器的预测算法的教程

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摘要

This paper presents a Matlab-based tutorial for model-based prognostics, which combines a physical model with observed data to identify model parameters, from which the remaining useful life (RUL) can be predicted. Among many model-based prognostics algorithms, the particle filter is used in this tutorial for parameter estimation of damage or a degradation model. The tutorial is presented using a Matlab script with 62 lines, including detailed explanations. As examples, a battery degradation model and a crack growth model are used to explain the updating process of model parameters, damage progression, and RUL prediction. In order to illustrate the results, the RUL at an arbitrary cycle are predicted in the form of distribution along with the median and 90% prediction interval. This tutorial will be helpful for the beginners in prognostics to understand and use the prognostics method, and we hope it provides a standard of particle filter based prognostics.
机译：本文为基于模型的预测提供了一个基于Matlab的教程，该教程将物理模型与观察到的数据结合起来以识别模型参数，由此可以预测剩余使用寿命（RUL）。在许多基于模型的预测算法中，本教程中使用粒子过滤器来估计损坏或退化模型的参数。本教程使用62行的Matlab脚本进行介绍，其中包括详细说明。例如，电池退化模型和裂纹扩展模型用于解释模型参数，损伤进展和RUL预测的更新过程。为了说明结果，以分布形式以及中位数和90％的预测间隔对任意周期的RUL进行了预测。本教程将对预测学的初学者有所帮助，有助于他们理解和使用预测学方法，我们希望它提供了基于粒子过滤器的预测学标准。

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  • 来源
    《Reliability Engineering & System Safety》 |2013年第7期|161-169|共9页
  • 作者

    Dawn An; Joo-Ho Choi; Nam Ho Kim;

  • 作者单位

    Department of Aerospace & Mechanical Engineering, Korea Aerospace University, 100 Hanggongdae-gil, Hwajeon-dong, Deokyang-gu, Goyang-si,Cyeonggi-do 412-791, Republic of Korea,Department of Mechanical & Aerospace Engineering, University of Florida, Gainesville, FL 32611, USA;

    Department of Aerospace & Mechanical Engineering, Korea Aerospace University, 100 Hanggongdae-gil, Hwajeon-dong, Deokyang-gu, Goyang-si,Cyeonggi-do 412-791, Republic of Korea;

    Department of Mechanical & Aerospace Engineering, University of Florida, Gainesville, FL 32611, USA;

  • 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

    Battery degradation; Crack growth; Matlab code; Model-based prognostics; Particle filter; Remaining useful life;

    机译：电池老化;裂纹增长;Matlab代码;基于模型的预测粒子过滤器剩余使用寿命;

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