A Novel Fault Diagnosis Approach for Chillers Based on 1-D Convolutional Neural Network and Gated Recurrent Unit

The safety of an Internet Data Center (IDC) is directly determined by the reliability and stability of its chiller system. Thus, combined with deep learning technology, an innovative hybrid fault diagnosis approach (1D-CNN_GRU) based on the time-series sequences is proposed in this study for the chi...

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Detalles Bibliográficos
Autores principales: Wang, Zhuozheng, Dong, Yingjie, Liu, Wei, Ma, Zhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248991/
https://www.ncbi.nlm.nih.gov/pubmed/32357428
http://dx.doi.org/10.3390/s20092458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248991/
https://www.ncbi.nlm.nih.gov/pubmed/32357428
http://dx.doi.org/10.3390/s20092458

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