面向系统层级的复杂工业过程全息故障诊断

彭开香; 张传放; 马亮; 董洁; 焦瑞华; 唐鹏

doi:10.11949/j.issn.0438-1157.20181349

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面向系统层级的复杂工业过程全息故障诊断

过程系统工程 | 更新时间：2026-07-24

- 面向系统层级的复杂工业过程全息故障诊断
- System-levels-based holographic fault diagnosis for complex industrial processes
- 化工学报 2019年70卷第2期页码：590-598
- 作者机构：
  
  北京科技大学自动化学院，工业过程知识自动化教育部重点实验室，北京 100083
- 作者简介：
  
  彭开香（1971—），男，教授，kaixiang@ustb.edu.cn
  张传放（1990—），男，博士研究生，zhangchuanfang@126.com
- 基金信息：
  
  国家自然科学基金项目(61473033;61773053;61873024)
- DOI：10.11949/j.issn.0438-1157.20181349
  中图分类号： TP 273
- 收稿：2018-11-15，
  
  修回：2018-11-25，
  
  网络首发：2020-06-16，
  
  纸质出版：2019-02-05
- 稿件说明：
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彭开香, 张传放, 马亮, 董洁, 焦瑞华, 唐鹏. 面向系统层级的复杂工业过程全息故障诊断[J]. 化工学报, 2019, 70(2): 590-598

PENG Kaixiang, ZHANG Chuanfang, MA Liang, DONG Jie, JIAO Ruihua, TANG Peng. System-levels-based holographic fault diagnosis for complex industrial processes[J]. CIESC Journal, 2019, 70(2): 590-598
彭开香, 张传放, 马亮, 董洁, 焦瑞华, 唐鹏. 面向系统层级的复杂工业过程全息故障诊断[J]. 化工学报, 2019, 70(2): 590-598 DOI： 10.11949/j.issn.0438-1157.20181349.

PENG Kaixiang, ZHANG Chuanfang, MA Liang, DONG Jie, JIAO Ruihua, TANG Peng. System-levels-based holographic fault diagnosis for complex industrial processes[J]. CIESC Journal, 2019, 70(2): 590-598 DOI： 10.11949/j.issn.0438-1157.20181349.

摘要

复杂工业过程具有长流程、系统层级多、故障潜在分布空间范围较广的特点，是当前故障诊断领域的热门研究方向。首先，对主流故障诊断技术进行了分类和概述；其次，采用定量与定性相结合思路，提出了面向系统层级的复杂工业过程全息故障诊断框架，为复杂工业全流程的过程监测提供一整套技术和解决方案。相比于目前的故障诊断方法，该框架不仅包括故障检测和故障辨识，还包括故障根源诊断、故障传播路径识别、故障的定量诊断与评估，可有效解决复杂工业过程系统的综合故障诊断问题，实用性强，能够有效地减少或避免故障发生、保证产品的质量、提高企业的生产效率与生产安全；最后对故障诊断技术的发展趋势和亟待解决的问题进行了展望。

Abstract

Complex industrial process has long processes

many system levels and a wide range of potential fault distribution space

which is a hotspot in the current fault diagnosis field. Firstly

the current mainstream fault diagnosis methods in process monitoring are classified and summarized. Secondly

this study adopts the combination of quantitative and qualitative

which is based on data and knowledge. A system-level holographic fault diagnosis framework for complex industrial process is proposed

which provides a complete set of techniques and solutions for process monitoring in complex industrial plant-wide process. Compared with current fault diagnosis methods

the framework not only includes fault detection and fault identification

but also includes root cause diagnosis

fault propagation path identification

quantitative fault diagnosis and evaluation. It is quite a practical method for process systems

which can effectively reduce or avoid the fault occurrence

guarantee the quality of the product

and improve the production efficiency and safety of enterprises. Finally

the development trend of fault diagnosis technology and problems to be solved are prospected.

关键词

Keywords

references

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