Time series damage state estimation using empirical transfer function estimation approach and broadband chirp active sensing

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

Abstract

The present paper proposes a state estimation approach that estimates the fatigue induced damage state of a metallic structure under biaxial fatigue load. Ultrasound based broadband active sensing technique is used. A novel dual sensor signal based damage index estimation technique is developed which removes the contribution from high frequency input dependant noise. Nonparametric system identification based empirical transfer function estimation approach is used to evaluate the scalar damage index. The time series estimation of the damage indices (or damage states) shows good correlation with visual measurements such as crack lengths. The time series 2s error bound was also evaluated to study the effect of measurement noise on damage state estimation.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
PublisherDEStech Publications
Pages1824-1831
Number of pages8
Volume2
ISBN (Print)9781605950075
StatePublished - 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: Sep 9 2009Sep 11 2009

Other

Other7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
CountryUnited States
CityStanford
Period9/9/099/11/09

Fingerprint

State estimation
Fatigue
Transfer functions
Noise
Time series
Fatigue of materials
Identification (control systems)
Ultrasonics
Cracks
Sensors

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

Cite this

Mohanty, S., & Chattopadhyay, A. (2009). Time series damage state estimation using empirical transfer function estimation approach and broadband chirp active sensing. In Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009 (Vol. 2, pp. 1824-1831). DEStech Publications.

Time series damage state estimation using empirical transfer function estimation approach and broadband chirp active sensing. / Mohanty, S.; Chattopadhyay, Aditi.

Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. Vol. 2 DEStech Publications, 2009. p. 1824-1831.

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

Mohanty, S & Chattopadhyay, A 2009, Time series damage state estimation using empirical transfer function estimation approach and broadband chirp active sensing. in Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. vol. 2, DEStech Publications, pp. 1824-1831, 7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009, Stanford, United States, 9/9/09.
Mohanty S, Chattopadhyay A. Time series damage state estimation using empirical transfer function estimation approach and broadband chirp active sensing. In Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. Vol. 2. DEStech Publications. 2009. p. 1824-1831
Mohanty, S. ; Chattopadhyay, Aditi. / Time series damage state estimation using empirical transfer function estimation approach and broadband chirp active sensing. Structural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009. Vol. 2 DEStech Publications, 2009. pp. 1824-1831
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