Improvements in the kalman filter concept for structural health assessment

A. K. Das, Achintya Haldar

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

1 Citation (Scopus)

Abstract

Health assessment of existing structural systems has developed multi-disciplinary research interests in the recent past. The research team at the University of Arizona is in the process of developing several finite elements (FE)-based system identification (SI) procedures that provide information on the location(s) of defect(s) and their severity by tracking the signature embedded in the dynamic responses. The procedures do not require information on input excitation. To address the issue related to measured noise-contaminated acceleration time-histories at limited DDOFs in large structural systems, the team developed integrated procedures by improving the extended Kalman Filter (EKF) concept. However, during the development phase, the team needed to address several fundamental challenges. Appropriate offline signal processing schemes, including filtering, baseline removal, and mitigation of amplitude and phase-shift errors, etc. needed to be introduced to address the issues of non-convergence. They are discussed in this paper.

Original languageEnglish (US)
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Pages1587-1592
Number of pages6
StatePublished - 2013
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: Jun 16 2013Jun 20 2013

Other

Other11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
CountryUnited States
CityNew York, NY
Period6/16/136/20/13

Fingerprint

Kalman filters
Health
Extended Kalman filters
Phase shift
Dynamic response
Identification (control systems)
Signal processing
Defects

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Das, A. K., & Haldar, A. (2013). Improvements in the kalman filter concept for structural health assessment. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 1587-1592)

Improvements in the kalman filter concept for structural health assessment. / Das, A. K.; Haldar, Achintya.

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. 2013. p. 1587-1592.

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

Das, AK & Haldar, A 2013, Improvements in the kalman filter concept for structural health assessment. in Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. pp. 1587-1592, 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013, New York, NY, United States, 6/16/13.
Das AK, Haldar A. Improvements in the kalman filter concept for structural health assessment. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. 2013. p. 1587-1592
Das, A. K. ; Haldar, Achintya. / Improvements in the kalman filter concept for structural health assessment. Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. 2013. pp. 1587-1592
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