A deterioration hazard model using a continuous index

Yohei Ninomiya, Daijiro Mizutani, Kiyoyuki Kaito

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

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4338-4343
Number of pages6
ISBN (Electronic)9781509018970
DOIs
Publication statusPublished - 2017 Feb 6
Externally publishedYes
Event2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
Duration: 2016 Oct 92016 Oct 12

Publication series

Name2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

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

Keywords

  • Asset management
  • Continuous hazard model
  • Inspection data
  • Pavement structure

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

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