利用设备工艺精度评估对热轧中的 Looper 进行根本原因追踪

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Algorithms Pub Date : 2024-02-26 DOI:10.3390/a17030102
Fengwei Jing, Fenghe Li, Yong Song, Jie Li, Zhanbiao Feng, Jin Guo 
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引用次数: 0

摘要

热连轧生产稳定性的概念是指生产线持续保持产量水平和产品质量的能力,从而体现了生产产量的稳定和不间断。本学术论文的重点是精轧区最重要的开卷机设备,将其作为案例研究,探讨识别不稳定性根源的方法,特别是在面临开卷机性能不足的情况下。首先,本文建立了设备工艺精确度评估(EPAE)模型,以精确地描述循环器的运行状态,该模型以循环器运行过程的精确度为基础。随后,研究深入探讨了 EPAE 指标与整体生产稳定性之间的相互作用,主张使用 EPAE 分数作为生产稳定性的直接指标。该研究进一步介绍了一种新颖的算法,旨在追踪问题的根本原因,将其分为材料、设备和控制因素,从而促进现场故障排除。最后,通过在 2250 热轧设备生产线上的应用,证实了该方法的实用性和有效性。本文为热轧工艺中的故障追踪提供了一种新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Root Cause Tracing Using Equipment Process Accuracy Evaluation for Looper in Hot Rolling
The concept of production stability in hot strip rolling encapsulates the ability of a production line to consistently maintain its output levels and uphold the quality of its products, thus embodying the steady and uninterrupted nature of the production yield. This scholarly paper focuses on the paramount looper equipment in the finishing rolling area, utilizing it as a case study to investigate approaches for identifying the origins of instabilities, specifically when faced with inadequate looper performance. Initially, the paper establishes the equipment process accuracy evaluation (EPAE) model for the looper, grounded in the precision of the looper’s operational process, to accurately depict the looper’s functioning state. Subsequently, it delves into the interplay between the EPAE metrics and overall production stability, advocating for the use of EPAE scores as direct indicators of production stability. The study further introduces a novel algorithm designed to trace the root causes of issues, categorizing them into material, equipment, and control factors, thereby facilitating on-site fault rectification. Finally, the practicality and effectiveness of this methodology are substantiated through its application on the 2250 hot rolling equipment production line. This paper provides a new approach for fault tracing in the hot rolling process.
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来源期刊
Algorithms
Algorithms Mathematics-Numerical Analysis
CiteScore
4.10
自引率
4.30%
发文量
394
审稿时长
11 weeks
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