Publicaciones en colaboración con investigadores/as de Ames Research Center (15)

2024

  1. Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics

    Reliability Engineering and System Safety, Vol. 243

  2. Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries

    Computers in Industry, Vol. 155

2023

  1. Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns

    Engineering Applications of Artificial Intelligence, Vol. 119

2019

  1. A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media

    Transport in Porous Media, Vol. 126, Núm. 1, pp. 177-197

2017

  1. A new algorithm for prognostics using Subset Simulation

    Reliability Engineering and System Safety, Vol. 168, pp. 189-199

  2. Integration of prognostics at a system level: A Petri net approach

    Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM

2016

  1. An energy-based prognostic framework to predict evolution of damage in composite materials

    Structural Health Monitoring (SHM) in Aerospace Structures (Elsevier Inc.), pp. 447-477

2015

  1. Bayesian model selection and parameter estimation for fatigue damage progression models in composites

    International Journal of Fatigue, Vol. 70, pp. 361-373

  2. Condition-based prediction of time-dependent reliability in composites

    Reliability Engineering and System Safety, Vol. 142, pp. 134-147

  3. Prognostics design for structural health management

    Emerging Design Solutions in Structural Health Monitoring Systems (IGI Global), pp. 234-273

2014

  1. A robust modeling approach for fatigue damage in composites based on bayesian model class selection

    Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting

  2. An efficient algorithm to predict the expected end-of-life in composites under fatigue conditions

    16th European Conference on Composite Materials, ECCM 2014

  3. Predicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm

    Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting

2013

  1. An energy-based prognostic framework to predict fatigue damage evolution in composites

    PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013

  2. Fatigue damage prognosis in FRP composites by combining multi-scale degradation fault modes in an uncertainty Bayesian framework

    Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013