J112014 Text Mining Approach of Trouble Report to Manage Operation Knowledge for Continuous Casting Process : Discrete Model of Continuous Casting Process for Management of Operation Knowledge

• AOYAMA Kazuhiro

  The University of Tokyo, Dept. of Systems Innovation

• SAWADA Takahiro

  東京大学大学院工学系研究科システム創成学専攻

• KOGA Tsuyoshi

  東京大学大学院工学系研究科システム創成学専攻 : (現)山口大学工学部機械工学科

• YAJI Yasuhito

  新日本製鐵株式会社

• MORI Jyunichi

  新日本製鐵株式会社

Bibliographic Information

Other Title

• J112014 操業知識マネジメントにおけるトラブル報告書のテキストマイニングに関する研究 : 連続鋳造プロセスにおける操業知識マネジメントの研究

Abstract

We have been researching to develop a supporting system for enabling safe operation based on the cognitive model that is about the complex casual relationship of the state of facilities and steel for the continuous casting process. This research aimed to propose the text mining methods for updating and maintaining the cognitive model for the continuous casting process using accident trouble reports. Three kinds of description model are proposed as an inputting model from trouble reports. State Diagram and Causal Relationship Diagram are used to describe them from the detail and holistic viewpoint. This research arranged a flow of text mining and proposed new method that can suggest the necessary information for updating the model of continuous casting process by making and defining those models stage by stage.

Journal

• The Proceedings of Mechanical Engineering Congress, Japan

  The Proceedings of Mechanical Engineering Congress, Japan 2012 (0), _J112014-1-_J112014-4, 2012

  The Japan Society of Mechanical Engineers

Keywords

• Text Mining
• Engineering Knowledge
• Knowledge Management
• Continuous Steel Casting

Details

• CRID: 1390282680817939584
• NII Article ID: 110009994898
• DOI: 10.1299/jsmemecj.2012._j112014-1
• ISSN: 24242667
• Web Site: https://www.jstage.jst.go.jp/article/jsmemecj/2012/0/2012__J112014-1/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed