A Novel Deep Belief Network and Extreme Learning Machine Based Performance Degradation Prediction Method for Proton Exchange Membrane Fuel Cell

A Novel Deep Belief Network and Extreme Learning Machine Based Performance Degradation Prediction Method for Proton Exchange Membrane Fuel Cell

Lifetime and reliability seriously affect the applications of proton exchange membrane fuel cell (PEMFC). Performance degradation prediction of PEMFC is the basis for improving the lifetime and reliability of PEMFC. To overcome the lower prediction accuracy caused by uncertainty and nonlinearity cha...

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Bibliographic Details
Main Authors: Yucen Xie, Jianxiao Zou, Zhongliang Li, Fei Gao, Chao Peng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Proton exchange membrane fuel cell
degradation prediction
deep belief network
extreme learning machine
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/9205397/

Internet

https://ieeexplore.ieee.org/document/9205397/

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