Cited by
Cited by
Reliability in composites–A selective review and survey of current development
M Chiachio, J Chiachio, G Rus
Composites Part B: Engineering 43 (3), 902-913, 2012
Approximate Bayesian computation by subset simulation
M Chiachio, JL Beck, J Chiachio, G Rus
SIAM Journal on Scientific Computing 36 (3), A1339-A1358, 2014
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects
I Palomares, E Martínez-Cámara, R Montes, P García-Moral, M Chiachio, ...
Applied Intelligence 51, 6497-6527, 2021
A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves
S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones
Mechanical Systems and Signal Processing 122, 192-205, 2019
Condition-based prediction of time-dependent reliability in composites
J Chiachío, M Chiachío, S Sankararaman, A Saxena, K Goebel
Reliability Engineering & System Safety 142, 134-147, 2015
Bayesian model selection and parameter estimation for fatigue damage progression models in composites
J Chiachío, M Chiachío, A Saxena, S Sankararaman, G Rus, K Goebel
International Journal of Fatigue 70, 361-373, 2015
Predicting fatigue damage in composites: A Bayesian framework
M Chiachío, J Chiachío, G Rus, JL Beck
Structural Safety 51, 57-68, 2014
A multilevel Bayesian method for ultrasound-based damage identification in composite laminates
J Chiachío, N Bochud, M Chiachío, S Cantero, G Rus
Mechanical Systems and Signal Processing 88, 462-477, 2017
An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites
J Chiachío, M Chiachío, A Saxena, G Rus, K Goebel
Annual Conference of the Prognostics and Health Management Society, 2013, 2013
A Markov chains prognostics framework for complex degradation processes
J Chiachío, ML Jalón, M Chiachío, A Kolios
Reliability Engineering & Systems Safety, 2019
Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization
S Cantero-Chinchilla, JL Beck, M Chiachío, J Chiachío, D Chronopoulos, ...
Mechanical Systems and Signal Processing 144, 106901, 2020
Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information
S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones
Mechanical Systems and Signal Processing 135, 106377, 2020
Logical inference for inverse problems
G Rus, J Chiachío, M Chiachío
Inverse Problems in Science and Engineering 24 (3), 448-464, 2016
A new paradigm for uncertain knowledge representation by Plausible Petri nets
M Chiachío, J Chiachío, D Prescott, J Andrews
Information Sciences 453, 323-345, 2018
A knowledge-based prognostics framework for railway track geometry degradation
J Chiachío, M Chiachío, D Prescott, J Andrews
Reliability Engineering & System Safety 181, 127-141, 2019
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
J Fernandez, M Chiachio, J Chiachio, R Munoz, F Herrera
Engineering Applications of Artificial Intelligence 107, 104511, 2022
A new algorithm for prognostics using Subset Simulation
M Chiachío, J Chiachío, S Sankararaman, K Goebel, J Andrews
Reliability Engineering & System Safety 168, 189-199, 2017
Structural digital twin framework: Formulation and technology integration
M Chiachío, M Megía, J Chiachío, J Fernandez, ML Jalón
Automation in Construction 140, 104333, 2022
Probabilistic identification of surface recession patterns in heritage buildings based on digital photogrammetry
ML Jalón, J Chiachío, LM Gil-Martín, E Hernández-Montes
Journal of Building Engineering 34, 101922, 2021
Open O&M: Robust O&M Open Access Tool for Improving Operation and Maintenance of Offshore wind Turbines
A Kolios, J Walgern, S Koukoura, R Pandit, J Chiachio
Proceedings of the 29th European Safety and Reliability Conference (ESREL), 2019
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