Research on Prediction of Metro Wheel Wear Based on Integrated Data-Model-Driven Approach

Research on Prediction of Metro Wheel Wear Based on Integrated Data-Model-Driven Approach

Existing research on wheel wear prediction uses either data-driven or model-based methods. However, due to the high reliability and limited sample characteristics of metro wheel wear, data-driven methods are not accurate enough and require relatively high data costs, and model-based methods mainly l...

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Detalles Bibliográficos
Autores principales: Aihua Zhu, Si Yang, Qiang Li, Jianwei Yang, Caozheng Fu, Jiao Zhang, Dechen Yao
Formato: Artículo
Lenguaje:English
Publicado: IEEE 2019-01-01
Colección:IEEE Access
Materias:
Metro wheel
wear prediction
data-model driven
optimization algorithms
Jendel wear model
Acceso en línea:https://ieeexplore.ieee.org/document/8887518/

Internet

https://ieeexplore.ieee.org/document/8887518/

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