A Product-Oriented Synchronization and Effective Information Extraction of Continuous Streaming Data for Relationship Mining in a Hot Rolling Process

Huihui Miao, Andi Wang, Tzyy Shuh Chang, Jianjun Shi

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Massive continuous streaming data are generated over time during production in a multistage manufacturing process. This paper aims to develop a product-oriented synchronization and effective information extraction of continuous streaming data and further model the relationships among variables for knowledge discovery. Take the steel rolling process as an example; this paper proposes a three-step data analytics procedure for product-oriented synchronization of continuous streaming data, effective information extraction, and further conducting relationship mining between the roll gap adjustment operations and product shapes based on the product-oriented data. The developed procedure first converts the continuous streaming data generated over time in a production process to productoriented data set, then extracts the information related to the causes and effects of roll gap adjustments, and finally fits the model describing the relationship among the roll gap adjustments, the change of rolling torques, and the change of product dimensions. This data analytics procedure facilitates the decision-making in the steel rolling process and illustrates an effective application of massive in-situ sensing data towards intelligent decision-making in data-rich manufacturing processes.

Original languageEnglish (US)
Article number081012
JournalJournal of Manufacturing Science and Engineering
Volume144
Issue number8
DOIs
StatePublished - Aug 2022

Keywords

  • data-driven rolling process modeling
  • high-dimensional streaming data analysis
  • multistage manufacturing process
  • process data and product data synchronization
  • relationship mining
  • sensors

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'A Product-Oriented Synchronization and Effective Information Extraction of Continuous Streaming Data for Relationship Mining in a Hot Rolling Process'. Together they form a unique fingerprint.

Cite this