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Fault Diagnostic Expert System of Rolling Element Bearing Based on CLIPS

机译:基于CLIPS的滚动轴承故障诊断专家系统

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摘要

In general, the fault diagnosis for rolling bearing is overly dependent on human expert. Expert system based on CLIPS for analysis and diagnosis of rolling bearing can not only predict faults of bearing to avoid some unnecessary losses, but also help the operators diagnose bearing faults quickly and give some advices to reduce excessive dependence on human expert and improve the diagnostic efficiency. The basic structure and development process of the expert system of rolling bearing fault diagnosis using CLIPS are addressed in this paper. The expert system is tested and verified by the experiments.
机译:通常,滚动轴承的故障诊断过于依赖专家。基于CLIPS的滚动轴承分析诊断专家系统,不仅可以预测轴承故障,避免不必要的损失,而且可以帮助操作人员快速诊断轴承故障,并提出一些建议,以减少对专家的过度依赖,提高诊断效率。 。本文介绍了基于CLIPS的滚动轴承故障诊断专家系统的基本结构和开发过程。实验对专家系统进行了测试和验证。

著录项

  • 来源
    《Journal of information and computational science》 |2013年第10期|3053-3062|共10页
  • 作者单位

    School of Mechanical & Electronical Engineering, Lanzhou University of Technology Lanzhou 730050, China;

    School of Mechanical & Electronical Engineering, Lanzhou University of Technology Lanzhou 730050, China;

    School of Mechanical & Electronical Engineering, Lanzhou University of Technology Lanzhou 730050, China,School of Mechanical & Automotive Engineering, Hefei University of Technology, Hefei 230009, China;

    School of Mechanical & Electronical Engineering, Lanzhou University of Technology Lanzhou 730050, China;

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

    Rolling Bearing; Fault Diagnosis; Expert System; CLIPS;

    机译:滚动轴承;故障诊断;专业系统;片段;

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