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Mostrati risultati da 1 a 20 di 20
A Bayesian semi-Markovian framework for prognostics and health management of industrial components
2014/2015 BANI, IVAN
A Markov decision process framework for optimal operation and maintenance of industrial systems equipped with prognostic capabilities
2016/2017 MARELLI, PAOLO
A novel method based on continuous wavelet transform for the identification of component degradation and sensor faults in industrial systems
2016/2017 COLOMBO, PIERLUIGI
A novel method based on wavelet transform for sensor validation in nuclear power plants
2015/2016 CLARKE, GERARD NOEL
An artificial intelligence-based method for prediction of the quality of semiconductor devices using production process data
2022/2023 Wang, Jue
Assessing the degradation state of energy systems equipment using sparse autoencoders optimized by a coevolutionary framework
2018/2019 EFTEKHARI MILANI, ALI
Autoassociative kernel based and Bayesian filter based fault detection in industrial components
2012/2013 TURATI, PIETRO
Data, text and image processing by deep learning and extreme learning machine for prognostics and health management
YANG, ZHE
A deep reinforcement learning-based framework for optimal operation and maintenance of complex assets of the energy industry
2021/2022 PINCIROLI, LUCA
Definition of a health indicator for component failure prognostics
2014/2015 BONFANTI, GIANLUCA
development and application of an importance measures for predictive maintenance in oil and gas installations
2016/2017 MOHAMED, AHMED GAMAL HUSSEIN HASSAN
Development of an unsupervised method based on the differential importance measure (DIM) for the condition monitoring of power production plants
2019/2020 FLOREALE, GIOVANNI
Development of prognostics and health management methods for engineering systems operating in evolving environments
HU, YANG
Development of unsupervised and semi-supervised clustering-based methods for degradation assessment of nuclear power plant steam generators
2016/2017 PINCIROLI, LUCA
Ensemble of echo state networks for predicting the energy production of power plants
2017/2018 NIGRO, ELEONORA
Ensemble of neural networks for fault prognostics of industrial equipments
2010/2011 SAUCO, SERGIO
Forecasting by artificial intelligence in the energy industry : feature selection for prediction by artificial neural networks
2017/2018 FRESC, MIRIAM
Homogeneous continuous time discrete state hidden semi-Markov modeling, hierarchical KNN nearest neighbours classification and differential evolution optimization for fault diagnostics and prognostics
2013/2014 CANNARILE, FRANCESCO
Optimal grouping of signals for condition monitoring of nuclear components
2009/2010 CANESI, ROBERTO
Self-organizing maps for condition based maintenance of industrial components
2013/2014 ALESSI, ALLEGRA
Mostrati risultati da 1 a 20 di 20
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