Degradation Prediction of PEMFCs Based on Discrete Wavelet Transform and Decoupled Echo State Network

Predicting the degradation process of proton exchange membrane fuel cells (PEMFCs) under diverse operational conditions is crucial for their maintenance planning and health monitoring, but it is also quite complex. The variability in dynamic conditions and the shortcomings of short-term forecasting...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Jie Sun, Wenshuo Li, Mengying He, Shiyuan Pan, Zhiguang Hua, Dongdong Zhao, Lei Gong, Tianyi Lan
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	fuel cell degradation prediction echo state network discrete wavelet transform remaining useful life
Online Access:	https://www.mdpi.com/1424-8220/25/7/2174

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