Partners

INSP
(RTD, ES)

Tecnologías Avanzadas Inspiralia

Research profiles


Tecnologías Avanzadas Inspiralia (INSP) is a private research center committed to develop new products and technologies for their industrial clients, to improve their growth and sustainability. With offices in Madrid and La Rioja, INSP provides companies with the necessary resources to develop leading edge technology solutions and products in materials science, simulation and computing applied methods, microelectronics and process engineering. INSP mission is to develop research and  innovation activities in order to create singular technologies and products for a broad range of industrial sectors, from food industry and health to the energy and construction markets. Inspiralia accounts with over 40 experienced scientists and  engineers. The successful management of the research team is backed by a track record of more than 20 collaborative research projects delivered at international scale. 2 Departments of INSP will be involved in this project: (1) the Department of  Simulation and Modeling that have previous experience in studying surfaces and tribology, like in current project TDM Seals (2) The Department of Electronics, with expertise in artificial vision development, soft computing and artificial Intelligence,  neural networks for signal analysis and learning systems, heuristic programming, use of genetic algorithms for scheduling applications and development of 3D visual based applications and Graphical User Interfaces for modelling.

Role in the project


The Simulation Department of INSP will lead WP1 (Definition and characterization of wheel-sets available on the market, their thermal properties and surface cracks) and WP2 (Electromagnetic induction heating system design). INSP will lead as well WP4, where the Electronic Department will put their effort in: developing pre-processing algorithms to increase signal quality; implementing state of the art and designing new computer vision algorithms, to recognize and classify defects in thermal images; developing new automatic or semi-automatic result analysis to assist testing engineers and technicians to evaluate defect detections by the thermography system.


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