LASPI: Detection and diagnostics of gearbox faults
Dataset of current, voltage, and vibration measurements of an electromechanical driving system. The system is a three-phase asynchronous motor that drives a gearbox. The gearbox is composed of bearings and gears that are susceptible to fail. Seven experiments corresponding to different states of ...
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 ...
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 ...
Electric vehicle energy model
The project is a simple electric vehicle energy model. It uses the fundamental principle of dynamics to determine the power profile seen by a battery cell for a given mission. The input data are GPX files of the actual path considered. They can also be replaced by a speed and slope profile. In the ...
AMPERE: Detection and diagnostics of rotor and stator faults in rotating machines
Dataset of speed, current, voltage and vibration measurements of an electromechanical drive system. The system is a three-phase asynchronous motor. It is composed of an aging bearing and a squirrel cage rotor with defects (broken bars). In addition, unbalanced power supply faults are investigated. ...
METALLICADOUR: Detection and diagnostics of multi-axis robot faults
Dataset of position, current, vibration, force, and torque measurements of an electromechanical drive system. The system is a multi-axes robot that contains a three-phase asynchronous motor. This latter motor drives a cutting tool for machining aluminum parts. It studies different states of health ...
Model energetic macroscopic representation (EMR) of the Fuel Cell and leads to a so-called maximal control structure (MCS)
This modeling presents the control part of a proton exchange membrane fuel cell (PEMFC). The objective of the model is to represent the voltage control chain of the PEMFC. This model is based on an energetic macroscopic representation (EMR) of the fuel cell and then leads to a so-called maximum ...
Modeling the aging of battery and fuel cell components in real use
These models are associated with the project AsDeCoEUR (Analyses De Composants Energétiques en Usage Réel). The project is based on a thesis work aiming at understanding the dynamic behavior, to study the aging and to estimate the health status of the battery and fuel cell energy components in real ...
Wikipedia network analysis of cancer interactions and world influence
We apply the Google matrix algorithms for analysis of interactions and influence of 37 cancer types, 203 cancer drugs and 195 world countries using the network of 5 416 537 English Wikipedia articles with all their directed hyperlinks. The PageRank algorithm provides the importance order of cancers ...
Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis
Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm of reduced Google matrix (REGOMAX) allows ...
Googlomics: Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks
Signaling pathways represent parts of the global biological network which connects them into a seamless whole through complex direct and indirect (hidden) crosstalk whose structure can change during normal development or in a pathological conditions such as cancer. Advanced methods for ...
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