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Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling Journal article
Mechanical Systems and Signal Processing, 2022,Volume: 173
Authors:  Sarmadi, Hassan;  Yuen, Ka Veng
Favorite |  | TC[WOS]:10 TC[Scopus]:12 | Submit date:2022/05/13
Generalized Extreme Value  Machine Learning  Mixture Quantile  Probabilistic Anomaly Detection  Structural Health Monitoring  Threshold Estimation  
Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme Journal article
Mechanical Systems and Signal Processing, 2022,Volume: 162
Authors:  Yan, Wang Ji;  Chronopoulos, Dimitrios;  Yuen, Ka Veng;  Zhu, Yi Chen
Favorite |  | TC[WOS]:18 TC[Scopus]:17 | Submit date:2021/09/10
Bayesian Analysis  Damage Detection  Probabilistic Distance Measure  Structural Health Monitoring  Transmissibility Function  Uncertainty Quantification