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April 11, 2026steel research international

Abnormal Trend Monitoring Method for Wire Rod Steel Initial Rolling Temperature Based on Trend Cumulative Sum

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Authors

YZYi ZhouHZHang ZhouXSXiangrong Song

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Overview

Implements a new monitoring method to detect abnormal temperature trends in steel production, indicating potential quality issues.

Key Points

  • The central aim is to develop an improved method for monitoring initial rolling temperatures of wire rod steel to ensure product quality.
  • Developed a process monitoring model combining Second-order Exponentially Weighted Moving Average (SO-EWMA) and Trend Cumulative Sum (TCUSUM).
  • SO-EWMA minimizes the impact of outliers and highlights stable trends across batches.
  • TCUSUM increases sensitivity to gradual temperature shifts over time.
  • Conducted practical on-site analyses to validate the approach.
  • Achieved an accuracy of 85.6% in detecting abnormal trends in initial rolling temperatures.
  • Effectively identified temperature anomalies that could lead to quality deterioration.
  • Provided actionable data for process adjustments and equipment maintenance.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69d9e5ec78050d08c1b761c2https://doi.org/10.1002/srin.202500997
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