Manuel Chiachio Ruano
Title
Cited by
Cited by
Year
Reliability in composites–A selective review and survey of current development
M Chiachio, J Chiachio, G Rus
Composites Part B: Engineering, 2011
1582011
Approximate Bayesian Computation by Subset Simulation
MC J.L. Beck, J. Chiachio, G. Rus
SIAM Journal on Scientific Computing 36 (3), A1339-A1338, 2014
852014
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
662015
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
532015
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
422019
Predicting fatigue damage in composites: A Bayesian framework
M Chiachío, J Chiachío, G Rus, JL Beck
Structural Safety 51, 57-68, 2014
392014
An energy-based prognostics framework to predict fatigue damage evolution in composites
J Chiachıo, M Chiachıo, A Saxena, G Rus, K Goebel
Proceedings of the annual conference of the prognostics and health …, 2013
352013
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
262017
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
192020
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
192020
Logical inference for inverse problems
G Rus, J Chiachío, M Chiachío
Inverse Problems in Science and Engineering 24 (3), 448-464, 2016
192016
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
152019
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
152017
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
142018
Prognostics design for structural health management
J Chiachio, M Chiachio, S Sankararaman, A Saxena, K Goebel
Emerging design solutions in structural health monitoring systems, 234-273, 2015
132015
A Markov chains prognostics framework for complex degradation processes
J Chiachío, ML Jalon, M Chiachío, A Kolios
Reliability Engineering & System Safety 195, 106621, 2020
112020
Fatigue damage prognosis in FRP composites by combining multi-scale degradation fault modes in an uncertainty Bayesian framework
M Chiachio, J Chiachio, A Saxena, G Rus, K Goebel
Proceedings of Structural Health Monitoring 1, 2013
102013
A reliability-based prognostics framework for railway track management
J Chiachío, M Chiachío, D Prescott, J Andrews
82017
An energy-based prognostic framework to predict evolution of damage in composite materials
M Chiachio, J Chiachio, A Saxena, K Goebel
Structural health monitoring (shm) in aerospace structures, 447-477, 2016
82016
An efficient simulation framework for prognostics of asymptotic processes-a case study in composite materials
M Chiach, J Chiach, A Saxena, G Rus, K Goebel
PHM Society European Conference 2 (1), 2014
82014
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Articles 1–20