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On the issue of the pemfc operating fault identification: generic analysis tool based on voltage pointwise singularity strengths
On the issue of the pemfc operating fault identification: generic analysis tool based on voltage pointwise singularity strengths
- Source :
- ICEREGA'17, 5th International Conference on emerging and renewable energy : generation and automation, ICEREGA'17, 5th International Conference on emerging and renewable energy : generation and automation, Jul 2017, BELFORT, France, HAL, ICEREGA 2017-International Conference on Emerging and Renewable Energy: Generation and Automation, ICEREGA 2017-International Conference on Emerging and Renewable Energy: Generation and Automation, Jul 2017, Belfort, France. 21p, International Journal of Hydrogen Energy, International Journal of Hydrogen Energy, Elsevier, 2017, 43 (25), pp 11606-11613. ⟨10.1016/j.ijhydene.2017.09.177⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- ICEREGA 2017 -International Conference on Emerging and Renewable Energy: Generation and Automation, Belfort, FRANCE, 07-/07/2017 - 07/07/2017; The purpose of this article is to study the portability of a non-intrusive and free of any external / internal disturbance diagnosis tool devoted to the monitoring of the State of Health (SoH) of PEM Fuel Cell (PEMFC) stack. The tool is based on a thorough analysis of the stack voltage signal using a multifractal formalism and wavelet leaders. It offers well-suited signatures indicators on the SoH of the Fuel Cell. Some relevant descriptors extracted from these patterns (singularity features) are used in the frame of Machine Learning approaches to allow the PEMFC fault identification. The proposed diagnosis strategy is evaluated with two different PEMFC stacks. The first one is designed for automotive applications and the second one is dedicated to stationary use (micro combined heat and power - µCHP application). Framework of the 'Decentralized energy production' project, directed by EFFICACITY, the French R&D Institute for urban energy transition.
- Subjects :
- VOLTAGE SINGULARITY SPECTRUM
PILE A COMBUSTIBLE
VEHICULE
Computer science
Automotive industry
Energy Engineering and Power Technology
AUTOMATIQUE
02 engineering and technology
Fault (power engineering)
7. Clean energy
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Software portability
[SPI]Engineering Sciences [physics]
Wavelet
DIAGNOSTIC
Stack (abstract data type)
DIAGNOSTIC DE FONCTIONNEMENT DE VEHICULE
0502 economics and business
050207 economics
PEM FUEL CELL
Pointwise
PEMFC STACKS
Renewable Energy, Sustainability and the Environment
business.industry
05 social sciences
Frame (networking)
[SPI.NRJ]Engineering Sciences [physics]/Electric power
Control engineering
APPLICATION
021001 nanoscience & nanotechnology
Condensed Matter Physics
µCHP APPLICATION
Micro combined heat and power
Fuel Technology
[SPI.AUTO] Engineering Sciences [physics]/Automatic
AUTOMOTIVE APPLICATION
MACHINE LEARNING
0210 nano-technology
business
COMPOSANT ELECTRONIQUE
Subjects
Details
- Language :
- English
- ISSN :
- 03603199
- Database :
- OpenAIRE
- Journal :
- ICEREGA'17, 5th International Conference on emerging and renewable energy : generation and automation, ICEREGA'17, 5th International Conference on emerging and renewable energy : generation and automation, Jul 2017, BELFORT, France, HAL, ICEREGA 2017-International Conference on Emerging and Renewable Energy: Generation and Automation, ICEREGA 2017-International Conference on Emerging and Renewable Energy: Generation and Automation, Jul 2017, Belfort, France. 21p, International Journal of Hydrogen Energy, International Journal of Hydrogen Energy, Elsevier, 2017, 43 (25), pp 11606-11613. ⟨10.1016/j.ijhydene.2017.09.177⟩
- Accession number :
- edsair.doi.dedup.....e8c5a665836d7d188e0fc9d2feea8944
- Full Text :
- https://doi.org/10.1016/j.ijhydene.2017.09.177⟩