Agent based fault detection system for chemical processes using negative selection algorithm

研究成果: Contribution to journalArticle査読

1 被引用数 (Scopus)

抄録

Recently, the number of industrial accidents of chemical plants has been increasing in Japan. The fault detection system is required to keep chemical plant safely. In this study, a fault detection system for a chemical plants using agent framework and negative selection algorithm was proposed. The negative selection algorithm is one of artificial immune systems. The artificial immune system is an imitative mechanism of vital actions to discriminate self/nonself to protect itself. The method was implemented and applied to a complicated chemical plant—which is a boiler plant virtually operated using a dynamic plant simulator. The simulations of fault detection were carried out. And also the results of simulations are presented in this paper.

本文言語英語
ページ(範囲)90-98
ページ数9
ジャーナルAdvances in Science, Technology and Engineering Systems
3
2
DOI
出版ステータス出版済み - 2018

All Science Journal Classification (ASJC) codes

  • 工学(その他)
  • 物理学および天文学(その他)
  • 技術マネージメントおよび技術革新管理

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