Decentralized system identification using stochastic subspace identification on Wireless Smart Sensor Networks

Sung Han Sim, B F Spencer, Jongwoong Park, Hyungjo Jung

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

Abstract

Wireless Smart Sensor Networks (WSSNs) facilitates a new paradigm to structural identification and monitoring for civil infrastructure. Conventional monitoring systems based on wired sensors and centralized data acquisition and processing have been considered to be challenging and costly due to cabling and expensive equipment and maintenance costs. WSSNs have emerged as a technology that can overcome such difficulties, making deployment of a dense array of sensors on large civil structures both feasible and economical. However, as opposed to wired sensor networks in which centralized data acquisition and processing is common practice, WSSNs require decentralized computing algorithms to reduce data transmission due to the limitation associated with wireless communication. Thus, several system identification methods have been implemented to process sensor data and extract essential information, including Natural Excitation Technique with Eigensystem Realization Algorithm, Frequency Domain Decomposition (FDD), and Random Decrement Technique (RDT); however, Stochastic Subspace Identification (SSI) has not been fully utilized in WSSNs, while SSI has the strong potential to enhance the system identification. This study presents a decentralized system identification using SSI in WSSNs. The approach is implemented on MEMSIC's Imote2 sensor platform and experimentally verified using a 5-story shear building model.

Original languageEnglish (US)
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012
DOIs
StatePublished - May 22 2012
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012 - San Diego, CA, United States
Duration: Mar 12 2012Mar 15 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8345
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012
CountryUnited States
CitySan Diego, CA
Period3/12/123/15/12

Keywords

  • Canonical variate algorithm
  • Stochastic subspace identification
  • Structural health monitoring
  • System identification
  • Wireless Smart Sensor

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

    Sim, S. H., Spencer, B. F., Park, J., & Jung, H. (2012). Decentralized system identification using stochastic subspace identification on Wireless Smart Sensor Networks. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2012 [83450O] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8345). https://doi.org/10.1117/12.916126