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04/06/2026

EU International Drone Show 2026

Driving innovation with AI: how Seguas is advancing predictive maintenance in industrial refrigeration with AI-MATTERS

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Seguas’ Experience:

About the company

Seguas Aire Comprimido y Frío Industrial S.L. is a Spanish engineering company specialized in industrial refrigeration, compressed air systems, and energy efficiency solutions. With a strong focus on innovation and digitalization, Seguas is actively exploring advanced technologies to enhance operational performance and deliver added value to its industrial clients.

The challenge

Industrial refrigeration systems are critical assets that require high reliability and continuous operation. However, implementing predictive maintenance strategies is often limited by the lack of high-quality and diversity of datasets, particularly for rare failure scenarios.

During the initial stages of the project, Seguas identified significant constraints in the availability and quality of machinery vibration data, which restricted the validation and performance assessment of AI-based anomaly detection models.

Overcoming these limitations was essential to ensure the robustness and real-world applicability of predictive maintenance solutions.

The solution

In collaboration with the Instituto Tecnológico de Aragón (ITA), and within the framework of the AI-Matters project, Seguas developed an innovative approach based on the generation of synthetic data combined with real operational data.

This methodology enabled the simulation of fault conditions and the enrichment of existing datasets, allowing a more comprehensive training and validation of AI models. By introducing simulated anomalies and new measurement data, the project significantly improved the characterization of algorithm performance.

The solution was integrated into a pilot demonstrator focused on vibration data analysis in industrial refrigeration systems, paving the way for scalable predictive maintenance applications.

The impact

The project has delivered tangible benefits for Seguas, including:

  • Increased accuracy and reliability of anomaly detection models
  • Enhanced capability to anticipate failures in critical equipment
  • Improved confidence in deploying AI solutions in real industrial environments
  • Strengthened internal capabilities in data-driven maintenance strategies

Additionally, the collaboration fostered a strong knowledge exchange between Seguas and ITA, which proved essential for the success of the initiative.

The role of AI-Matters

The AI-Matters programme played a key role by providing financial support and access to advanced experimentation capabilities. This enabled Seguas to leverage cutting-edge tools for data analysis, simulation, and AI model validation, which would otherwise have been difficult to access.

By facilitating experimentation with synthetic data, AI-Matters accelerates the adoption of trustworthy AI solutions while addressing data availability and privacy challenges.

Looking ahead

Building on the results of this project, Seguas is now positioned to further develop and deploy AI-driven predictive maintenance solutions across its industrial refrigeration systems.

The integration of these capabilities into its digital ecosystem, including its industrial Data Lake, will support more efficient operations, reduced downtime, and improved energy performance.

Conclusion

This user story highlights how the combination of industrial expertise, advanced analytics, and European innovation support can drive meaningful transformation towards a smarter and more sustainable industry.

Would you like to know how our project managers can help your organisation?

Contact us for a non-binding conversation: https://ai-matters.eu/contact/

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