[1]姚 林,张 岩.基于分布式稀疏LS的热轧过程质量相关故障检测[J].工业仪表与自动化装置,2020,(06):65-68.[doi:1000-0682(2020)06-0000-00]
　YAO Lin,ZHANG Yan.Quality-related fault detection for hot rolling processes based on distributed sparse LS[J].Industrial Instrumentation & Automation,2020,(06):65-68.[doi:1000-0682(2020)06-0000-00]

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基于分布式稀疏LS的热轧过程质量相关故障检测

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:

期数:

2020年06期

页码:

65-68

栏目:

出版日期:

2020-12-15

文章信息/Info

Title:

Quality-related fault detection for hot rolling processes based on distributed sparse LS

作者:

姚 林; 张 岩

1. 鞍钢集团有限公司，辽宁 鞍山 114021 ；

2. 鞍钢集团北京研究院有限公司，北京 102200

Author(s):

YAO Lin1; ZHANG Yan2

1. Ansteel Group Co., LTD, Liaoning Anshan 114021, China;

2. Beijing Research Institute of Ansteel Co. ,LTD, Beijing 102200, China

关键词:

质量相关; 故障检测; 分布式稀疏LS; 热轧过程

Keywords:

quality-related;  fault detection;  distributed sparse LS;  hot rolling process

分类号:

TP277

DOI:

1000-0682(2020)06-0000-00

文献标志码:

A

摘要:

质量相关故障检测是保障热轧过程安全运行和质量稳定的重要手段，是当前流程工业过程控制领域的研究热点。针对传统最小二乘（LS）方法求解参数存在过拟合及故障检测实时性不强等问题，该文将分布式优化与1-范数正则化思想引入到过程变量与质量变量相关关系建模中，提出了基于分布式稀疏LS（DSLS）方法，通过设计合理的监测统计量和控制限，实现了质量相关故障检测。通过热轧过程现场数据进行仿真验证，并与传统方法对比，验证了新算法的有效性。

Abstract:

Quality-related fault detection is an important mean to ensure safe operation and stable quality for hot rolling processes, which, thus, have recently become hotspots in the process industrial control domain. In this paper, a DSLS-based quality-related fault detection method is developed by distributed optimization and L1 norm regularization, and the associated statistics and thresholds are designed, which aims at addressing the issues on parameter overfitting and poor real-time performance for the traditional LS. Moreover, a case study on hot rolling process is finally given to compare with other methods to demonstrate the advantages of the new approach.

参考文献/References:

[1] 钱锋,杜文莉,钟伟民,等.石油和化工行业智能优化制造若干问题及挑战[J].自动化学报,2017,43(06)：893-901.

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备注/Memo

备注/Memo:

收稿日期：2020-03-24

作者简介：姚林(1965)，男，高级工程师，博士，现主要从事轧钢过程质量监测与优化等研究工作。

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