Multi-objective optimization strategies for damage detection using cloud model theory

Zhou Jin, Akira Mita, Li Rongshuai

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

1 Citation (Scopus)

Abstract

Cloud model is a new mathematical representation of linguistic concepts, which shows potentials for uncertainty mediating between the concept of a fuzzy set and that of a probability distribution. This paper utilizes cloud model theory as an uncertainty analyzing tool for noise-polluted signals, which formulates membership degree functions of residual errors that quantify the difference between the prediction from simulated model and the actual measured time history at each time interval. With membership degree functions a multi-objective optimization strategy is proposed, which minimizes multiple error terms simultaneously. Its non-domination-based convergence provides a stronger constraint that enables robust identification of damages with lower damage negative false. Simulation results of a structural system under noise polluted signals are presented to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationHealth Monitoring of Structural and Biological Systems 2012
DOIs
Publication statusPublished - 2012 Jun 6
EventHealth Monitoring of Structural and Biological Systems 2012 - San Diego, CA, United States
Duration: 2012 Mar 122012 Mar 15

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8348
ISSN (Print)0277-786X

Other

OtherHealth Monitoring of Structural and Biological Systems 2012
CountryUnited States
CitySan Diego, CA
Period12/3/1212/3/15

Keywords

  • Cloud model theory
  • Damage detection
  • Multi-objective optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Jin, Z., Mita, A., & Rongshuai, L. (2012). Multi-objective optimization strategies for damage detection using cloud model theory. In Health Monitoring of Structural and Biological Systems 2012 [83482R] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8348). https://doi.org/10.1117/12.914231