E-LIB Suche - Ergebnisse für: Chiachío, J.

1

List of contributors:

, In: Structural Health Monitoring (SHM) in Aerospace Structures,

Chiachío, J. ; Chiachío, M. ; Derriso, M.M.... - p. xi-xii , 2016

Link: https://doi.org/10.1016/..

2

An energy-based prognostic framework to predict evolution o..:

, In: Structural Health Monitoring (SHM) in Aerospace Structures,

Chiachío, M. ; Chiachío, J. ; Saxena, A.. - p. 447-477 , 2016

Link: https://doi.org/10.1016/..

3

Prognostics Design for Structural Health Management:

, In: Emerging Design Solutions in Structural Health Monitoring Systems; Advances in Civil and Industrial Engineering,

Chiachío, J. ; Chiachío, M. ; Sankararaman, S... - p. 234-273 , 2015

Link: https://doi.org/10.4018/..

4

Bayesian model selection and parameter estimation for fatig..:

Chiachío, J. ; Chiachío, M. ; Saxena, A....
International Journal of Fatigue. 70 (2015) - p. 361-373 , 2015

Link: https://doi.org/10.1016/..

5

Logical inference for inverse problems:

Rus, G. ; Chiachío, J. ; Chiachío, M.
Inverse Problems in Science and Engineering. 24 (2015) 3 - p. 448-464 , 2015

Link: https://doi.org/10.1080/..

6

An Inverse-Problem Based Stochastic Approach to Model the C..:

Chiachio, J. ; Chiachio, M. ; Rus, G.
Procedia Engineering. 14 (2011) - p. 1557-1563 , 2011

Link: https://doi.org/10.1016/..

7

Physics-guided recurrent neural network trained with approx..:

Fernández, Juan ; Chiachío, Juan ; Barros, José..
Reliability Engineering & System Safety. 243 (2024) - p. 109822 , 2024

Link: https://doi.org/10.1016/..

8

Intelligent and adaptive asset management model for railway..:

Saleh, Ali ; Remenyte-Prescott, Rasa ; Prescott, Darren.
Reliability Engineering & System Safety. 241 (2024) - p. 109687 , 2024

Link: https://doi.org/10.1016/..

9

A novel semi-empirical approach to non-destructively evalua..:

Barros, José ; Chiachío, Manuel ; Morillas, Leandro..
Journal of Building Engineering. 83 (2024) - p. 108423 , 2024

Link: https://doi.org/10.1016/..

10

Predicting Rail Corrugation Based on Convolutional Neural N..:

Haghbin, Masoud ; Chiachío, Juan ; Muñoz, Sergio...
Sensors. 24 (2024) 14 - p. 4627 , 2024

Link: https://doi.org/10.3390/..

11

A semi-empirical method for shear response modelling of mas..:

Barros, José ; Chiachío, Manuel ; Fernández, Juan..
Structures. 61 (2024) - p. 106100 , 2024

Link: https://doi.org/10.1016/..

12

Reliability-based leading edge erosion maintenance strategy..:

Lopez, Javier Contreras ; Kolios, Athanasios ; Wang, Lin..
Applied Energy. 358 (2024) - p. 122612 , 2024

Link: https://doi.org/10.1016/..

13

A general approach to assessing SHM reliability considering..:

Wu, Wen ; Cantero-Chinchilla, Sergio ; Prescott, Darren..
Reliability Engineering & System Safety. 250 (2024) - p. 110267 , 2024

Link: https://doi.org/10.1016/..

14

Training of physics-informed Bayesian neural networks with ..:

Fernández, Juan ; Corbetta, Matteo ; Kulkarni, Chetan S...
Computers in Industry. 155 (2024) - p. 104058 , 2024

Link: https://doi.org/10.1016/..

15

Physics-guided Bayesian neural networks by ABC-SS: Applicat..:

Fernández, Juan ; Chiachío, Juan ; Chiachío, Manuel..
Engineering Applications of Artificial Intelligence. 119 (2023) - p. 105790 , 2023

Link: https://doi.org/10.1016/..