Damage identification for composite structures with a Bayesian network

Minh Nguyen, Xiaoming Wang, Zhongqing Su, Lin Ye

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

7 Citations (Scopus)

Abstract

Recent development on the application of distributed sensor networks in Structural Health Monitoring (SHM) for large structural areas has resulted in more complicated system identification techniques, particularly for those with multiple information sources. This paper presents an application of Bayesian inference network to detection of hole-type damages on a composite plate using multiple sensing data streams from a distributed sensor network. Representative damage features from 50 damage scenarios were used for the learning process. The Bayesian net is found to be promising when correctly diagnosing the damage's location and size for a validation case.
Original languageEnglish
Title of host publicationProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Pages307-311
Number of pages5
Publication statusPublished - 1 Dec 2004
Externally publishedYes
Event2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 - Melbourne, Australia
Duration: 14 Dec 200417 Dec 2004

Conference

Conference2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Country/TerritoryAustralia
CityMelbourne
Period14/12/0417/12/04

ASJC Scopus subject areas

  • Engineering(all)

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