YANG, ZHE

YANG, ZHE  

DIPARTIMENTO DI ENERGIA  

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Titolo Data di pubblicazione Autori File
A comparison between extreme learning machine and artificial neural network for remaining useful life prediction 1-gen-2016 YANG, ZHEBARALDI, PIEROZIO, ENRICO
A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks 1-gen-2022 Yang Z.Baraldi P.Zio E.
A multi-branch deep neural network model for failure prognostics based on multimodal data 1-gen-2021 Yang Z.Baraldi P.Zio E.
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments 1-gen-2020 Yang Z.Al-Dahidi S.Baraldi P.Zio E.Montelatici L.
A novel method for maintenance record clustering and its application to a case study of maintenance optimization 1-gen-2020 Yang Z.Baraldi P.Zio E.
A systematic hybrid method for real-time prediction of system conditions in natural gas pipeline networks 1-gen-2018 Zio, EnricoYang, Zhe +
An integrated, systematic data-driven supply-demand side management method for smart integrated energy systems 1-gen-2021 Zio E.Yang Z. +
Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders 1-gen-2019 Yang Z.Baraldi P.Zio E.
The Aramis Data Challenge to prognostics and health management methods for application in evolving environments 1-gen-2023 Baraldi P.Compare M.Zio E.Cannarile F.Yang Z.
The aramis data challenge: Prognostics and health management in evolving environments 1-gen-2020 Compare M.Baraldi P.Yang Z.Zio E. +