Structural health monitoring data fusion for in-situ life prognosis of composite structures
暂无分享,去创建一个
Theodoros H. Loutas | Rinze Benedictus | Nick Eleftheroglou | Dimitrios Zarouchas | Rene Alderliesten | R. Benedictus | R. Alderliesten | T. Loutas | D. Zarouchas | N. Eleftheroglou
[1] Zheng Liu,et al. Survey: State of the Art in NDE Data Fusion Techniques , 2007, IEEE Transactions on Instrumentation and Measurement.
[2] Shuai Zhang,et al. Two-stage structural damage detection using fuzzy neural networks and data fusion techniques , 2011, Expert Syst. Appl..
[3] Min Li,et al. Hierarchical ensemble-based data fusion for structural health monitoring , 2010 .
[4] Fang Qian,et al. Remaining useful life prediction using ranking mutual information based monotonic health indicator , 2015, 2015 Prognostics and System Health Management Conference (PHM).
[5] Cordelia Schmid,et al. Product Quantization for Nearest Neighbor Search , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Paul R. Drake,et al. Condition-based maintenance and machine diagnostics , 1994 .
[7] Ming Jian Zuo,et al. An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process , 2014, Reliab. Eng. Syst. Saf..
[8] Alaa Mohamed Riad,et al. Prognostics: a literature review , 2016, Complex & Intelligent Systems.
[9] Donghua Zhou,et al. Remaining useful life estimation - A review on the statistical data driven approaches , 2011, Eur. J. Oper. Res..
[10] Sheng Yue,et al. A comparison of the power of the t test, Mann-Kendall and bootstrap tests for trend detection / Une comparaison de la puissance des tests t de Student, de Mann-Kendall et du bootstrap pour la détection de tendance , 2004 .
[11] Ming J. Zuo,et al. Multistate degradation and supervised estimation methods for a condition-monitored device , 2014 .
[12] Theodoros Loutas,et al. Fatigue damage diagnostics and prognostics of composites utilizing structural health monitoring data and stochastic processes , 2016 .
[13] Sankalita Saha,et al. Metrics for Offline Evaluation of Prognostic Performance , 2021, International Journal of Prognostics and Health Management.
[14] Xavier E. Gros. Multisensor Data Fusion and Integration in NDT , 2001 .
[15] Kai Goebel,et al. Probabilistic fatigue damage prognosis of lap joint using Bayesian updating , 2015 .
[16] K. Goebel,et al. Bayesian model selection and parameter estimation for fatigue damage progression models in composites , 2015 .
[17] D. L. Hall,et al. Mathematical Techniques in Multisensor Data Fusion , 1992 .
[18] Rinze Benedictus,et al. Methods for the prediction of fatigue delamination growth in composites and adhesive bonds: A critical review , 2013 .
[19] Charles R Farrar,et al. Damage prognosis: the future of structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[20] Kai Goebel,et al. A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination , 2018 .
[21] Juan Chiachio,et al. Condition-based prediction of time-dependent reliability in composites , 2015, Reliab. Eng. Syst. Saf..
[22] Linxia Liao,et al. Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction , 2014, IEEE Transactions on Industrial Electronics.
[23] Yaguo Lei,et al. Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery , 2016 .
[24] Enrico Zio,et al. FAILURE PROGNOSTICS BY A DATA-DRIVEN SIMILARITY-BASED APPROACH , 2013 .
[25] Alberto Carpinteri,et al. A unified interpretation of the power laws in fatigue and the analytical correlations between cyclic properties of engineering materials , 2009 .
[26] James Llinas,et al. An introduction to multisensor data fusion , 1997, Proc. IEEE.
[27] Fred W. Glover,et al. Scatter Search and Local Nlp Solvers: A Multistart Framework for Global Optimization , 2006, INFORMS J. Comput..
[28] Theodoros Loutas,et al. A data-driven probabilistic framework towards the in-situ prognostics of fatigue life of composites based on acoustic emission data , 2017 .
[29] Theodoros Loutas,et al. Online Remaining Fatigue Life Prognosis for Composite Materials Based on Strain Data and Stochastic Modeling , 2016 .
[30] Aditi Chattopadhyay,et al. A Gaussian process based prognostics framework for composite structures , 2009, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[31] Aditi Chattopadhyay,et al. Condition Based Structural Health Monitoring and Prognosis of Composite Structures under Uniaxial and Biaxial Loading , 2010 .
[32] Luca Podofillini,et al. Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation , 2002, Reliab. Eng. Syst. Saf..
[33] Ivan Bartoli,et al. Damage quantification in polymer composites using a hybrid NDT approach , 2013 .