Data-driven diagnosis of the high-pressure hydrogen leakage in fuel cell vehicles based on relevance vector machine-Reference-Cited by-同舟云学术

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Data-driven diagnosis of the high-pressure hydrogen leakage in fuel cell vehicles based on relevance vector machine

Published:2021-09 Issue: Volume: Page:
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Tian Ying,Zou Qiang^ORCID,Jin Zhenhua,Lin Zezhao^ORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference40 articles.

1. Study on some Key problems of fault dignosis and maintenance for automotive fuel cell system;Quan,2011

2. Numerical study of hydrogen dispersion in a fuel cell vehicle under the effect of ambient wind;Yu;Int J Hydrogen Energy,2019

3. The effect of an obstacle plate on the spontaneous ignition in pressurized hydrogen release: a numerical study;Xu;Int J Hydrogen Energy,2011

4. Hydrogen gas sensing methods, materials, and approach to achieve parts per billion level detection: a review;Chauhan;Int J Hydrogen Energy,2019

5. Key concerns about hydrogen safety of fuel cell vehicles;Wang;Sciencepaper Online,2008

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