Abstract

We propose a sequential Monte Carlo (SMC) based progressive structural damage diagnosis framework that tracks damage by integrating information from physics-based damage evolution models and using stochastic relationships between the measurements and the damage. The approach described in this paper adaptively configures the sensors used to collect the measurements using the minimum predicted mean squared error (MSE) as the performance metric. Optimization is performed globally over the entire search space of all available sensors. Results are presented for the diagnosis of fatigue damage in a notched laminate, demonstrating the effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7650
EditionPART 1
DOIs
StatePublished - 2010
EventHealth Monitoring of Structural and Biological Systems 2010 - San Diego, CA, United States
Duration: Mar 8 2010Mar 11 2010

Other

OtherHealth Monitoring of Structural and Biological Systems 2010
CountryUnited States
CitySan Diego, CA
Period3/8/103/11/10

Fingerprint

Complex Structure
Damage
damage
Sensor
optimization
Optimization
sensors
Sensors
Fatigue damage
Laminates
Physics
Sequential Monte Carlo
Fatigue Damage
Performance Metrics
Mean Squared Error
Search Space
laminates
Entire
physics
Model

Keywords

  • Hidden Markov model
  • Particle filter
  • Progressive damage diagnosis
  • Sensor optimization
  • Sequential Monte Carlo
  • Structural health monitoring

ASJC Scopus subject areas

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

Cite this

Zhou, W., Kovvali, N., Papandreou-Suppappola, A., & Chattopadhyay, A. (2010). Sensor optimization for progressive damage diagnosis in complex structures. In Proceedings of SPIE - The International Society for Optical Engineering (PART 1 ed., Vol. 7650). [76502S] https://doi.org/10.1117/12.848910

Sensor optimization for progressive damage diagnosis in complex structures. / Zhou, Wenfan; Kovvali, Narayan; Papandreou-Suppappola, Antonia; Chattopadhyay, Aditi.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7650 PART 1. ed. 2010. 76502S.

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

Zhou, W, Kovvali, N, Papandreou-Suppappola, A & Chattopadhyay, A 2010, Sensor optimization for progressive damage diagnosis in complex structures. in Proceedings of SPIE - The International Society for Optical Engineering. PART 1 edn, vol. 7650, 76502S, Health Monitoring of Structural and Biological Systems 2010, San Diego, CA, United States, 3/8/10. https://doi.org/10.1117/12.848910
Zhou W, Kovvali N, Papandreou-Suppappola A, Chattopadhyay A. Sensor optimization for progressive damage diagnosis in complex structures. In Proceedings of SPIE - The International Society for Optical Engineering. PART 1 ed. Vol. 7650. 2010. 76502S https://doi.org/10.1117/12.848910
Zhou, Wenfan ; Kovvali, Narayan ; Papandreou-Suppappola, Antonia ; Chattopadhyay, Aditi. / Sensor optimization for progressive damage diagnosis in complex structures. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7650 PART 1. ed. 2010.
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