IEEE PHM Data Challenge 2014
This data set is divided in two parts in the framework of the IEEE PHM Data Challenge 2014. The first part is a 1kW proton exchange membrane fuel cell on which long-term tests (1,000 hours) have been carried out under quasi-stationary conditions. The second part also deals with a fresh 1kW proton ...
Execution times and results of instances of an FPMAS epidemiological model
This dataset contains fpmas-virus (https://github.com/FPMAS/fpmas-virus) execution times and model results obtained with the FPMAS platform (https://github.com/FPMAS/) in the context of the Paul Breugnot's Ph.D. thesis (Distribution and synchronisation of Multi-Agent System simulations).
Detailed execution times of several FPMAS Meta-model instances
This dataset contains detailed fpmas-metamodel (https://github.com/FPMAS/fpmas-metamodel) execution time data obtained with the FPMAS platform (https://github.com/FPMAS/) in the context of Paul Breugnot's PhD thesis (Distribution and synchronisation of Multi-Agent Systems simulations), that proposes ...
Aging data based on daily cogeneration profile
The EU-funded project SAPPHIRE (System automation of PEMFCs with prognostics and health management for improved reliability and economy) was initiated to address the relatively short life expectancy of PEMFCs. Extending service life can be achieved in several ways – one of these is prognostics and ...
Aging data based on cogeneration profile
The main objective of the PROPICE project is to develop intelligent PHM (Prognostics & Health Management) methods to monitor the health status and estimate the lifetime of proton exchange membrane fuel cell systems.
Pronostics & Health Management of fuel cell systems project
The PHM-PAC project is mainly aimed at developing intelligent methods for the detection, diagnosis and prognosis of fuel cell failures. This project should allow the optimization of the performance of fuel cell systems as well as a better understanding of the electrochemical phenomena affecting the ...