Agent based fault detection using negative selection algorithm for chemical processes

Naoki Kimura, Yuya Takeda, Taichi Hasegawa, Yoshifumi Tsuge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, a fault detection system for a chemical processes using agent and negative selection algorithm was proposed. The operational data using dynamic plant simulator were obtained to verify the effectiveness of our method. The simulations of fault detection were carried out. And also the results of simulation are presented in this paper.

Original languageEnglish
Title of host publication2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages448-452
Number of pages5
ISBN (Electronic)9781509043972
DOIs
Publication statusPublished - Jul 18 2017
Event6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan, Province of China
Duration: May 28 2017May 31 2017

Other

Other6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
CountryTaiwan, Province of China
CityTaipei
Period5/28/175/31/17

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

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