Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors

Complete list of metadatas

https://hal-amu.archives-ouvertes.fr/hal-02004101
Contributor : Zhongliang Li <>
Submitted on : Friday, February 1, 2019 - 3:31:37 PM
Last modification on : Thursday, February 7, 2019 - 5:13:48 PM

Identifiers

  • HAL Id : hal-02004101, version 1

Citation

Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Alain Giraud, et al.. Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors. Renewable Energy, Elsevier, 2018. ⟨hal-02004101⟩

Share

Metrics

Record views

57