A Novel Fault Diagnosis Method for Denoising Autoencoder Assisted by Digital Twin

Digital twin (DT) is an important method to realize intelligent manufacturing. Traditional data-based fault diagnosis methods such as fractional-order fault feature extraction methods require sufficient data to train a diagnosis model, which is unrealistic in a dynamically changing production proces...

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Detalles Bibliográficos
Autores principales: Cai, Wenan, Zhang, Qianqian, Cui, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334121/
https://www.ncbi.nlm.nih.gov/pubmed/35909837
http://dx.doi.org/10.1155/2022/5077134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334121/
https://www.ncbi.nlm.nih.gov/pubmed/35909837
http://dx.doi.org/10.1155/2022/5077134

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