Vibration-based structural condition monitoring using concept of digital damage fingerprints (DDF)

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The practicability of vibration-based structural condition and health monitoring is often challenged due to the difficulty in cost-effectively understanding the complicated vibration signals. Aimed at interrogating the vibration signals in an explicit manner, a signal processing and interpretation scheme capitalising on advanced signal processing and data fusion approaches was developed, termed digital damage fingerprints (DDF). In the approach, wavelet transform and artificial neural network algorithms were employed to sequentially conduct signal pre-processing, purification, characteristic extraction, data compression, information mapping and pattern recognition, whereby essential yet concise features were extracted from the acquired vibration signal, to further assist in the evaluation of structural condition and health status. For validation, the proposed approach was employed to quantitatively assess delamination in composite structures, and the results exhibited excellent capability of the approach in facilitating real-time surveillance on structural condition.
Original languageEnglish
Title of host publicationTurkish Acoustical Society - 36th International Congress and Exhibition on Noise Control Engineering, INTER-NOISE 2007 ISTANBUL
Pages4482-4490
Number of pages9
Volume7
Publication statusPublished - 1 Dec 2007
Event36th International Congress and Exhibition on Noise Control Engineering, INTER-NOISE 2007 - Istanbul, Turkey
Duration: 28 Aug 200731 Aug 2007

Conference

Conference36th International Congress and Exhibition on Noise Control Engineering, INTER-NOISE 2007
Country/TerritoryTurkey
CityIstanbul
Period28/08/0731/08/07

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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