Decentralized SHM method based on substructure parameter identification

Michihito Shiraishi, Akira Mita

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

Abstract

In this paper, we propose a new decentralized method for structural health monitoring based on substructure dynamical parameter identification, which can be executed in parallel on multiple smart sensor nodes. A decentralized Kalman filter algorithm is applied for modal parameter identification of structures using multi-input and multi-output ARX model. Furthermore, network communication topology is investigated using the substructure approach for finding a practical application of the decentralized algorithm. Numerical simulation studies are carefully performed for three types of network topologies and two types of model structures. Identification tests using the seismic observation data of existing 5-story building are also conducted. The results show the feasibility of the proposed decentralized method.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
DOIs
Publication statusPublished - 2011 May 26
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011 - San Diego, CA, United States
Duration: 2011 Mar 72011 Mar 10

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7981
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
CountryUnited States
CitySan Diego, CA
Period11/3/711/3/10

Keywords

  • ARX
  • Kalman filter
  • decentralized processing
  • smart sensor
  • structural health monitoring
  • substructure method
  • system identification

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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