Predictive and preventive maintenance

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Cost and time reduction through predictive and preventive maintenance

Predictive and preventive maintenance develops techniques and methodologies to predict failures in order to reduce downtime of equipment and machinery in industrial processes. Using data analysis tools and real-time monitoring to identify patterns and trends that may indicate an imminent failure, it seeks to establish preventive maintenance plans that help extend the useful life of equipment and reduce costs associated with corrective maintenance.

Technological lines

Advanced technological training

Technological training adapted to the needs for business competitiveness

Artificial Intelligence / Deep Learning

Artificial Intelligence (AI), Deep Learning, Knowledge Management, Multi-Agent Systems, Intelligent Agents, Case-Based Reasoning, Plan-Based Reasoning, Deliberative Reasoning, Artificial Neural Networks, Genetic Algorithms, Data Modeling, Data Mining, Knowledge Extraction, Decision Support Systems, Recommendation, Machine Learning, Machine Learning

Augmented Virtual Reality Research Laboratory

HBIM modeling and digital technologies for cultural heritage

Advanced digitization systems and intelligent management of historical cultural assets.

Implementation of digital twins in the mining industry

Industrial diagnostics and predictive maintenance

AI and data analytics to prevent failures and optimize the efficiency and competitiveness of industrial plants

Intelligent artificial perception systems

Intelligent artificial perception solutions tailored to each sector

Lean Productivity Improvement and Digital Transformation

Consultancy for improving efficiency in production and business processes

Multispectral image processing and 3D data for cultural heritage and tourism

Advanced image capture and analysis technologies for documenting, preserving and promoting cultural and tourism heritage sites

Process and manufacturing technologies

Process improvement support for safety, energy efficiency and product quality

Software Engineering

Development of customized applications for the capture and use of process and product data.