Sequence Fault Diagnosis for PEMFC Water Management Subsystem Using Deep Learning With t-SNE

Sequence Fault Diagnosis for PEMFC Water Management Subsystem Using Deep Learning With t-SNE

For solving the problem of sequence failure diagnosis of proton exchange membrane fuel cell (PEMFC) water management subsystem, this paper proposes a PEMFC failure diagnosis method of time series based on the bidirectional long short-term memory (BiLSTM) network and t-distributed stochastic neighbor...

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Bibliographic Details
Main Authors: Jiawei Liu, Qi Li, Hanqing Yang, Ying Han, Shuna Jiang, Weirong Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
PEMFC systems
bidirectional long short-term memory network
t-distributed stochastic neighbor embedding
multivariate time series
sequence fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/8755924/

Internet

https://ieeexplore.ieee.org/document/8755924/

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