Towards Population-Based Structural Health Monitoring, Part I: Homogeneous Populations and Forms

[1]  Keith Worden,et al.  Towards Population-Based Structural Health Monitoring, Part VI: Structures as Geometry , 2020 .

[2]  A. Kusiak,et al.  Modeling wind-turbine power curve: A data partitioning and mining approach , 2017 .

[3]  Keith Worden,et al.  A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm , 2015, IEEE Transactions on Industrial Electronics.

[4]  V. K. Sethi,et al.  Critical analysis of methods for mathematical modelling of wind turbines , 2011 .

[5]  A. E. Maguire,et al.  Performance monitoring of a wind turbine using extreme function theory , 2017 .

[6]  P. Gardner,et al.  Towards population-based structural health monitoring, Part II : heterogeneous populations and structures as graphs , 2020 .

[7]  G. Tomlinson,et al.  Nonlinearity in Structural Dynamics: Detection, Identification and Modelling , 2000 .

[8]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[9]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[10]  Robert N. Clark,et al.  Control system dynamics , 1996 .

[11]  Neil D. Lawrence,et al.  Overlapping Mixtures of Gaussian Processes for the Data Association Problem , 2011, Pattern Recognit..

[12]  Christian Laugier,et al.  Modelling Smooth Paths Using Gaussian Processes , 2007, FSR.

[13]  Keith Worden,et al.  Towards Population-Based Structural Health Monitoring, Part VII: EOV Fields – Environmental Mapping , 2020 .

[14]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[15]  David J. C. MacKay,et al.  Bayesian Model Comparison and Backprop Nets , 1991, NIPS.

[16]  David M. Blei,et al.  Variational Inference: A Review for Statisticians , 2016, ArXiv.

[17]  Wenxian Yang,et al.  Wind turbine condition monitoring by the approach of SCADA data analysis , 2013 .

[18]  Carl E. Rasmussen,et al.  A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..

[19]  Keith Worden,et al.  Towards population-based structural health monitoring, Part III: graphs, networks and communities , 2020 .

[20]  Keith Worden,et al.  DAMAGE DETECTION USING OUTLIER ANALYSIS , 2000 .

[21]  Elizabeth Cross,et al.  A Gaussian process form for population-based structural health monitoring , 2019 .

[22]  Kevin P. Murphy,et al.  Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.