On-line updating Gaussian mixture model for aircraft wing spar damage evaluation under time-varying boundary condition
- 16 October 2014
- journal article
- Published by IOP Publishing in Smart Materials and Structures
- Vol. 23 (12)
- https://doi.org/10.1088/0964-1726/23/12/125001
Abstract
No abstract availableFunding Information
- the China Postdoctoral Science Foundation (2012M510134, 2014T70515)
- the Research Fund for the Doctoral Program of Higher Education of China (20123218120007)
- National Science Fund for Distinguished Young Scholars (51225502)
- the Fundamental Research Funds for the Central Universities (NJ20140014)
- the Priority Academic Program Development of Jiangsu Higher Education Institutions
- Qing Lan Project
- National Natural Science Foundation of China (51205189)
This publication has 48 references indexed in Scilit:
- An adaptive learning damage estimation method for structural health monitoringJournal of Intelligent Material Systems and Structures, 2014
- Features for damage detection with insensitivity to environmental and operational variationsProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012
- Instantaneous crack detection under varying temperature and static loading conditionsStructural Control and Health Monitoring, 2010
- Guided wave health monitoring of complex structures by sparse array systems: Influence of temperature changes on performanceJournal of Sound and Vibration, 2010
- Prediction of Progressive Damage State at the Hot Spots using Statistical EstimationJournal of Intelligent Material Systems and Structures, 2010
- The effects of structural variations on the health monitoring of composite structuresComposite Structures, 2009
- Encyclopedia of Structural Health MonitoringPublished by Wiley ,2009
- Gaussian mixture model classification: A projection pursuit approachComputational Statistics & Data Analysis, 2007
- Elastic wave propagation in sinusoidally corrugated waveguidesThe Journal of the Acoustical Society of America, 2006
- Model-Based Gaussian and Non-Gaussian ClusteringBiometrics, 1993