Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

By Marine Jouin, R. Gouriveau, Daniel Hissel, Marie-Cécile Péra, Noureddine Zerhouni. Reliability Engineering & System Safety, 2016

314 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/063575dec48eaaa0aae6e9fd11e6c4cc9e6eeec0

How researchers see this paper

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In Electrical and Electronic Engineering

1. Jianqiao Sun
2. Qian Ding
3. Xiang Li

Citations in the corpus

• A review on prognostics and health monitoring of proton exchange membrane fuel cell (2017, methodology): “Although validation results have shown higher correlation for four different datasets, it is required to test the model on actual systems such as automotive applications so that it could be validated for actual application [139, 140].”
• Remaining useful life estimation in prognostics using deep convolution neural networks (2018, methodology): “Popular model-based approaches include particle filter [8], Eyring model [9], Weibull distribution [10] etc .”