DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Mijin | ko |
dc.contributor.author | Jung, Hwee Kwon | ko |
dc.contributor.author | Taylor, Stuart G. | ko |
dc.contributor.author | Farinholt, Kevin M. | ko |
dc.contributor.author | Lee, Jung-Ryul | ko |
dc.contributor.author | Park, Gyuhae | ko |
dc.date.accessioned | 2016-11-09T04:54:47Z | - |
dc.date.available | 2016-11-09T04:54:47Z | - |
dc.date.created | 2016-10-13 | - |
dc.date.created | 2016-10-13 | - |
dc.date.created | 2016-10-13 | - |
dc.date.created | 2016-10-13 | - |
dc.date.created | 2016-10-13 | - |
dc.date.issued | 2016-04 | - |
dc.identifier.citation | JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, v.36, no.2, pp.93 - 101 | - |
dc.identifier.issn | 1225-7842 | - |
dc.identifier.uri | http://hdl.handle.net/10203/213672 | - |
dc.description.abstract | This paper presents the results obtained using time-series-based methods for structural damage assessment. The methods are applied to a wind turbine blade structure subjected to fatigue loads. A 9m CX-100 (carbon experimental 100kW) blade is harmonically excited at its first natural frequency to introduce a failure mode. Consequently, a through-thickness fatigue crack is visually identified at 8.5million cycles. The time domain data from the piezoelectric active-sensing techniques are measured during the fatigue loadings and used to detect incipient damage. The damage-sensitive features, such as the first four moments and a normality indicator, are extracted from the time domain data. Time series autoregressive models with exogenous inputs are also implemented. These features could efficiently detect a fatigue crack and are less sensitive to operational variations than the other methods. | - |
dc.language | English | - |
dc.publisher | KOREAN SOC NONDESTRUCTIVE TESTING | - |
dc.title | Analysis of Time Domain Active Sensing Data from CX-100 Wind Turbine Blade Fatigue Tests for Damage Assessment | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 36 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 93 | - |
dc.citation.endingpage | 101 | - |
dc.citation.publicationname | JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING | - |
dc.identifier.doi | 10.7779/JKSNT.2016.36.2.93 | - |
dc.identifier.kciid | ART002102070 | - |
dc.contributor.localauthor | Lee, Jung-Ryul | - |
dc.contributor.nonIdAuthor | Choi, Mijin | - |
dc.contributor.nonIdAuthor | Jung, Hwee Kwon | - |
dc.contributor.nonIdAuthor | Taylor, Stuart G. | - |
dc.contributor.nonIdAuthor | Farinholt, Kevin M. | - |
dc.contributor.nonIdAuthor | Park, Gyuhae | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Structural Health Monitoring (SHM) | - |
dc.subject.keywordAuthor | Time Series Analysis | - |
dc.subject.keywordAuthor | Piezoelectric Active Sensor | - |
dc.subject.keywordAuthor | ARX Model | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
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