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 publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8348
DOIs
Publication statusPublished - 2012
EventHealth Monitoring of Structural and Biological Systems 2012 - San Diego, CA, United States
Duration: 2012 Mar 122012 Mar 15

Other

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

Fingerprint

Cloud Model
Damage Detection
Damage detection
Model Theory
Multiobjective optimization
Multi-objective Optimization
Damage
damage
Uncertainty
optimization
Error term
Fuzzy Sets
fuzzy sets
linguistics
Quantify
Probability Distribution
Fuzzy sets
Minimise
Linguistics
Probability distributions

Keywords

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

ASJC Scopus subject areas

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

Cite this

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

Multi-objective optimization strategies for damage detection using cloud model theory. / Jin, Zhou; Mita, Akira; Rongshuai, Li.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8348 2012. 83482R.

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

Jin, Z, Mita, A & Rongshuai, L 2012, Multi-objective optimization strategies for damage detection using cloud model theory. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8348, 83482R, Health Monitoring of Structural and Biological Systems 2012, San Diego, CA, United States, 12/3/12. https://doi.org/10.1117/12.914231
Jin Z, Mita A, Rongshuai L. Multi-objective optimization strategies for damage detection using cloud model theory. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8348. 2012. 83482R https://doi.org/10.1117/12.914231
Jin, Zhou ; Mita, Akira ; Rongshuai, Li. / Multi-objective optimization strategies for damage detection using cloud model theory. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8348 2012.
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