Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure

In this paper, a time series algorithm is presented for damage identification and localization. The vibration signals obtained from sensors are modeled as autoregressive moving average (ARMA) time series. A new damage-sensitive feature, DSF, is defined as a function of the first three auto regressiv...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of sound and vibration Ročník 291; číslo 1; s. 349 - 368
Hlavní autori:	Nair, K. Krishnan, Kiremidjian, Anne S., Law, Kincho H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Elsevier Ltd 21.03.2006 Elsevier
Predmet:	Exact sciences and technology Fundamental areas of phenomenology (including applications) Measurement and testing methods Physics Solid mechanics Structural and continuum mechanics Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...) ARMA model Statistical analysis Vibration Time series Autoregressive model Regression analysis Experimental study Vibrometer Stationary condition Vibration transducer Transducer position Classification Signal processing System identification Localization Defect detection Damaging
ISSN:	0022-460X, 1095-8568
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!