A deterioration hazard model using a continuous index

Yohei Ninomiya, Daijiro Mizutani, Kiyoyuki Kaito

研究成果: Conference contribution

抄録

In this study, the authors develop a deterioration prediction model with respect to deterioration management indicators by using continuous variables. Quite a few deterioration management indicators of infrastructure are observed as continuous values. It is possible to discretize these continuous values and predict deterioration with a Markov chain model, but in order to obtain more precise deterioration prediction results, it is desirable to develop a direct model of the time variation in continuous values. In this study, the authors formulate a continuous deterioration hazard model including characteristic variables that vary according to the structural characteristics and environmental conditions of infrastructure. Furthermore, the authors attempt to empirically analyze the applicability of the methodology proposed in this study.

本文言語English
ホスト出版物のタイトル2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4338-4343
ページ数6
ISBN(電子版)9781509018970
DOI
出版ステータスPublished - 2017 2月 6
外部発表はい
イベント2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
継続期間: 2016 10月 92016 10月 12

出版物シリーズ

名前2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
国/地域Hungary
CityBudapest
Period16/10/916/10/12

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 人工知能
  • 制御と最適化
  • 人間とコンピュータの相互作用

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