A fully autonomous damping estimation with SVM-based fault data treatment using 1-year wireless monitoring data

S. Kim, H. K. Kim, B. F. Spencer

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

Abstract

This study reports on the estimated modal damping ratio of a parallel cable-stayed bridge by the use of automated Operational Modal Analysis (OMA). The 1-year monitoring data from a dense wireless smart sensor network (WSSN) of 113 smart sensors were utilized for damping estimation. A novel data treatment strategy for sensor fault in WSSN data was proposed to remove a static trend, recover the unexpected spikes, and exclude the fault measurements autonomously. The automated covariance driven Stochastic Subspace Identification (SSI-COV) is determined as the OMA algorithm. In order to achieve more reliable damping estimates, the three-stages of validations were implemented in SSI-COV for the purpose of eliminating spurious poles from physical poles. The improvement in the integrated damping estimation procedure was demonstrated by comparative results of OMA-based damping estimation of the Jindo Bridge, by using a raw and treated data. The effect of data length on the accuracy of damping estimates was evaluated statistically.

Original languageEnglish (US)
Title of host publication9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Subtitle of host publicationTransferring Research into Practice, SHMII 2019 - Conference Proceedings
EditorsGenda Chen, Sreenivas Alampalli
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages442-447
Number of pages6
ISBN (Electronic)9780000000002
StatePublished - 2019
Event9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - St. Louis, United States
Duration: Aug 4 2019Aug 7 2019

Publication series

Name9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings
Volume1

Conference

Conference9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019
CountryUnited States
CitySt. Louis
Period8/4/198/7/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Building and Construction

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