Aníbal Reñones

Learn More
Research into fault diagnosis in machines with a wide range of variable loads and speeds, such as wind turbines, is of great industrial interest. Analysis of the power signals emitted by wind turbines for the diagnosis of mechanical faults in their mechanical transmission chain is insufficient. A successful diagnosis requires the inclusion of accelerometers(More)
A SCADA-data based data mining approach to estimate wind turbine loads Prevalence of, risk factors for, and oxidative stress associated with Toxoplasma gondii antibodies among Egyptian asymptomatic blood donors Content independant metadata production as a machine learning problem Sahar Changuel and Nicolas Labroche
The installation of suitable sensors close to the tool tip on milling centres is not possible in industrial environments. It is therefore necessary to design virtual sensors for these machines to perform online fault detection in many industrial tasks. This paper presents a virtual sensor for online fault detection of multitooth tools based on a bayesian(More)
  • 1