scholarly journals Bayesian inverse problem of rotating neutron stars

2021 ◽  
Vol 103 (8) ◽  
Author(s):  
Sebastian H. Völkel ◽  
Christian J. Krüger ◽  
Kostas D. Kokkotas
Keyword(s):  
Inverse Problem ◽  
Neutron Stars ◽  
Bayesian Inverse Problem

Nonlinear Ultrasonics for Early Damage Detection

2015 ◽  
pp. 171-206 ◽  
Author(s):  
Rafael Munoz ◽  
Guillermo Rus ◽  
Nicolas Bochud ◽  
Daniel J. Barnard ◽  
Juan Melchor ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Life Cycle ◽  
Early Detection ◽  
Health Monitoring ◽  
Theoretical Models ◽  
Health State ◽  
Nonlinear Ultrasonics ◽  
Bayesian Inverse Problem ◽  
Early Damage ◽  
Rigorous Method

Structural Health Monitoring (SHM) is an emerging discipline that aims at improving the management of the life cycle of industrial components. The scope of this chapter is to present the integration of nonlinear ultrasonics with the Bayesian inverse problem as an appropriate tool to estimate the updated health state of a component taking into account the associated uncertainties. This updated information can be further used by prognostics algorithms to estimate the future damage stages. Nonlinear ultrasonics allows an early detection of damage moving forward the achievement of reliable predictions, while the inverse problem emerges as a rigorous method to extract the slight signature of early damage inside the experimental signals using theoretical models. The Bayesian version of the inverse problem allows measuring the underlying uncertainties, improving the prediction process. This chapter presents the fundamentals of nonlinear ultrasonics, their practical application for SHM, and the Bayesian inverse problem as a method to unveil damage and manage uncertainty.

Nonlinear Ultrasonics for Early Damage Detection

2020 ◽  
pp. 697-732
Author(s):  
Rafael Munoz ◽  
Guillermo Rus ◽  
Nicolas Bochud ◽  
Daniel J. Barnard ◽  
Juan Melchor ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Life Cycle ◽  
Early Detection ◽  
Health Monitoring ◽  
Theoretical Models ◽  
Health State ◽  
Nonlinear Ultrasonics ◽  
Bayesian Inverse Problem ◽  
Early Damage ◽  
Rigorous Method

Structural Health Monitoring (SHM) is an emerging discipline that aims at improving the management of the life cycle of industrial components. The scope of this chapter is to present the integration of nonlinear ultrasonics with the Bayesian inverse problem as an appropriate tool to estimate the updated health state of a component taking into account the associated uncertainties. This updated information can be further used by prognostics algorithms to estimate the future damage stages. Nonlinear ultrasonics allows an early detection of damage moving forward the achievement of reliable predictions, while the inverse problem emerges as a rigorous method to extract the slight signature of early damage inside the experimental signals using theoretical models. The Bayesian version of the inverse problem allows measuring the underlying uncertainties, improving the prediction process. This chapter presents the fundamentals of nonlinear ultrasonics, their practical application for SHM, and the Bayesian inverse problem as a method to unveil damage and manage uncertainty.

AN INVERSE PROBLEM IN THE DYNAMICAL REATOR THEORY

1982 ◽  
Vol 2 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Dexing Feng ◽  
Guangtian Zhu
Keyword(s):  
Inverse Problem

Neutron Stars and "Black Holes"

1973 ◽  
Vol 110 (7) ◽  
pp. 441 ◽  
Author(s):  
Ya.B. Zel'dovich
Keyword(s):  
Black Holes ◽  
Neutron Stars
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