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首页> 外文期刊>Control Engineering Practice >A novel data-based quality-related fault diagnosis scheme for fault detection and root cause diagnosis with application to hot strip mill process
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A novel data-based quality-related fault diagnosis scheme for fault detection and root cause diagnosis with application to hot strip mill process

机译：一种基于数据的基于质量的新型故障诊断方案，用于故障检测和根本原因诊断，并应用于热轧机

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摘要

In this paper, a new technology or solution of quality-related fault diagnosis is provided for hot strip mill process (HSMP). Different from traditional data-based fault diagnosis methods, the alternative approach is focused more on root cause diagnosis. The new scheme addresses the quality-related fault detection with the developed modified canonical variable analysis (MCVA) model, then the advantage of original generalized reconstruction based contribution (GRBC) is followed to identify the faulty variables. Meanwhile, a new transfer entropy (TE)-based causality analysis method is proposed for root cause diagnosis of quality-related faults. Finally, the whole proposed framework is practiced with real HSMP data, and the results demonstrate the usage and effectiveness of these approaches.
机译：本文为热轧机工艺（HSMP）提供了一种与质量相关的故障诊断的新技术或解决方案。与传统的基于数据的故障诊断方法不同，替代方法更侧重于根本原因诊断。该新方案通过开发改进的规范化变量分析（MCVA）模型解决了与质量相关的故障检测，然后利用原始的基于广义重构的贡献（GRBC）的优势来识别故障变量。同时，提出了一种基于传递熵（TE）的因果分析的新方法，用于质量相关故障的根本原因诊断。最后，整个提议的框架是用真实的HSMP数据实践的，结果证明了这些方法的使用和有效性。

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  • 来源
    《Control Engineering Practice》 |2017年第10期|43-51|共9页
  • 作者

    Ma Liang; Dong Jie; Peng Kaixiang; Zhang Kai;

  • 作者单位

    Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China;

    Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China;

    Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China;

    Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 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

    Generalized reconstruction based contribution; Hot strip mill process; Modified canonical variable analysis; Quality-related; Root cause diagnosis;

    机译：基于广义重建的贡献;热轧机工艺;修正规范变量分析;与质量有关;根本原因诊断;

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