Biography

During the last years I have implemented different maintenance programs. I initially started with the so-called Total Productive Maintenance, to later move on to the development of other Advanced Maintenance techniques based on thermography and vibration analysis in critical equipment, electrical installations and groups of pumps and motors.

This first part of my research was framed in a regional project and served as the starting point for, based on more sophisticated techniques, implant other new methodologies using sound and ultrasound (wavelets) for wind turbine systems. This second phase could be developed thanks to the financing of up to 5 European projects.

The incorporation of these models and techniques has served to generate patterns that anticipate catastrophic failure, generating a reduction in maintenance tasks, especially the inefficient ones, while reducing associated costs. At the same time, the availability and efficiency of the analyzed equipment has increased, which has been translated into greater energy production.

The latest studies presented go a step further and have focused on the generation of alarm levels as part of a structural system for monitoring health in wind farms. This work has been done with power curves, widely used in forecasting and market research, to extend its benefits to the field of maintenance management. In many cases, it is about dealing with a very large amount of fuzzy data in the most efficient way.