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Research areas

Automation and processes control

Industrial diagnosis, quality control and predictive mainten

Industrial diagnosis, quality control and predictive maintenance

Director:
Dr. Luis Javier de Miguel
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As a research group, this area still focuses on predictive maintenance, but its growth and activity have been expanding to technologies and solutions related to process optimization. Therefore, the area works on integral maintenance solutions, integral management systems, traceability, process simulation and logistics.

Among its achievement, stand out its participation on renowned international projects and its work for leading companies. However, its greater ability it is to make this technology and knowledge available to SMEs, which are significant wealth generators, thereby substantially improving their competitiveness.

Projects

Modeling, diagnosis and fault tolerant control for PEM electrolysers

Some of the problems that currently challenge the electrical generation systems based on renewable energies are the lack of continuous production or fulfill the required demand. As a result, it is necessary to have effective storage mechanisms for the energy produced, so it can be drawn upon at demand. The generation of hydrogen through electrolysers achieves both objectives. This project’s goal, among other objectives, is to obtain an electrolyser model that makes easier the design of the diagnosis and the study of the fault behavior.

Development and implementation of a predictive maintenance system for aerogenerators

Aerogenerators, like any production infrastructure, need maintenance. However, their unique characteristics (dispersion, hard to access) call for planned and optimized maintenance actions. To accomplish this goal, it’s very important maintenance operations are based on this condition: the early detection of malfunctions, which allows effectively planning their maintenance.

Fault detection and automatic diagnosis on aerogenerators

Development of techniques for fault detection and diagnosis on wind power generators: induction generators, dual powered, with permanent magnets, connected to the electrical grid and to hydrogen storage systems (electrolyzation); focusing on those faults that are not currently detected on commercial systems and that limit their maximum operational readiness.