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Machinery health prognostics: A systematic review from data acquisition to RUL prediction

机译：机械健康预测：从数据采集到RUL预测的系统评价

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摘要

Machinery prognostics is one of the major tasks in condition based maintenance (CBM), which aims to predict the remaining useful life (RUL) of machinery based on condition information. A machinery prognostic program generally consists of four technical processes, i.e., data acquisition, health indicator (HI) construction, health stage (HS) division, and RUL prediction. Over recent years, a significant amount of research work has been undertaken in each of the four processes. And much literature has made an excellent overview on the last process, i.e., RUL prediction. However, there has not been a systematic review that covers the four technical processes comprehensively. To fill this gap, this paper provides a review on machinery prognostics following its whole program, i.e., from data acquisition to RUL prediction. First, in data acquisition, several prognostic datasets widely used in academic literature are introduced systematically. Then, commonly used HI construction approaches and metrics are discussed. After that, the HS division process is summarized by introducing its major tasks and existing approaches. Afterwards, the advancements of RUL prediction are reviewed including the popular approaches and metrics. Finally, the paper provides discussions on current situation, upcoming challenges as well as possible future trends for researchers in this field.
机译：机械故障诊断是基于状态的维护（CBM）的主要任务之一，旨在基于状态信息预测机械的剩余使用寿命（RUL）。机械的预后程序通常由四个技术过程组成，即数据采集，健康指标（HI）构建，健康阶段（HS）划分和RUL预测。近年来，在这四个过程中的每个过程中都进行了大量的研究工作。许多文献对最后的过程（即RUL预测）进行了很好的概述。但是，还没有系统的评论全面涵盖四个技术过程。为了填补这一空白，本文针对机械预测的整个程序（即从数据获取到RUL预测）进行了综述。首先，在数据获取中，系统地介绍了学术文献中广泛使用的几个预后数据集。然后，讨论了常用的HI构建方法和度量。之后，通过介绍其主要任务和现有方法来总结HS划分过程。随后，对RUL预测的进展进行了回顾，包括流行的方法和指标。最后，本文提供了有关该领域研究人员的现状，即将到来的挑战以及可能的未来趋势的讨论。

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  • 来源
    《Mechanical systems and signal processing》 |2018年第may1期|799-834|共36页
  • 作者

    Yaguo Lei; Naipeng Li; Liang Guo; Ningbo Li; Tao Yan; Jing Lin;

  • 作者单位

    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

    State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

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

    Machinery prognostics; Data acquisition; Health indicator construction; Health stage division; Remaining useful life prediction;

    机译：机械预测数据采集​​;健康指标建设;健康阶段划分;剩余使用寿命预测;

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