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Empowering Industrial Reliability through Innovative Monitoring Solutions

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We are dedicated to transforming the way industries care for their most valuable assets

Since 2014, we have been at the forefront of developing innovative solutions for the monitoring and supervision of industrial machinery. By combining advanced technology with a strong focus on predictive maintenance, we help our customers reduce costs, prevent unexpected downtime, and optimize operational efficiency.

Innovation that drives excellence

Our solutions are designed for Industry 4.0, leveraging cutting-edge technologies such as Edge Computing and IoT to provide real-time insights into the health and performance of critical assets. With TWave's monitoring systems, industries can stay ahead of potential issues, extending the lifespan of their equipment and enhancing overall productivity.

Founded in Asturias, Spain, TWave specializes in designing and producing monitoring systems that focus on analyzing and diagnosing the operational condition of machinery. Our products rely on sensor data, particularly vibration sensors, to evaluate machine health, anticipate maintenance needs, and prevent unexpected failures. This not only reduces costs but also minimizes production losses, allowing for smoother, more reliable operations.

Our systems enable predictive maintenance by capturing comprehensive analytical data from vibration, displacement, temperature, and other key variables, such as duty cycle or load status. We have earned the trust of major global companies and continue to expand our international presence, proving that innovation and excellence can be the driving force behind success in even the most challenging industries.

At TWave, our core values — innovation, design, technology, creativity, and integrity — guide everything we do, ensuring that we consistently deliver cutting-edge, reliable solutions tailored to meet the unique needs of our clients.

Location

Strategic Technology Partnerships

TWave actively collaborates with leading technology centers and research institutions to validate, evolve, and extend its condition monitoring solutions in real industrial environments.

  • Aimen

    AIMEN Centro Tecnológico is a technology center actively involved in advanced R&D projects for the energy sector. Within the HYDROSES project, developed in collaboration with Iberdrola and TWave, AIMEN contributes to the development of smarter and more efficient pumped-storage hydropower plants, supporting the integration of advanced monitoring, diagnostics, and digital technologies to improve the flexibility, reliability, and sustainability of reversible pump-turbine systems.

  • CERN Supplier

    CERN is the European Organization for Nuclear Research, home to the world’s most advanced particle physics infrastructures, including the Large Hadron Collider. Through its Technology Department and Cryogenics Group, CERN designs and operates highly critical cryogenic systems that ensure superconducting operation at near–absolute-zero temperatures. In this context, CERN relies on advanced condition monitoring solutions to guarantee the reliability and continuous operation of mission-critical rotating equipment within its scientific facilities.

  • Tecnalia

    TECNALIA is a leading applied research and technology center focused on developing and transferring advanced technological solutions to industry. As part of its R&D activities in electric mobility, Tecnalia is incorporating advanced vibration analysis techniques to detect electronic faults in power electronics, extending the traditional use of vibration monitoring beyond mechanical diagnostics. This work supports the development of innovative monitoring and predictive maintenance solutions for next-generation electric propulsion systems.

  • Universidad de Oviedo

    The University of Oviedo is a public university in Spain with a strong focus on engineering, applied research, and industrial collaboration. Together with TWave, several research initiatives are advancing the use of data analytics and artificial intelligence in condition monitoring. This collaboration includes projects on intelligent analysis of vibration and multisensor data captured by the TWave T8 platform, real-time fault detection in marine diesel engines aligned with Industry 4.0 and digital-twin concepts, and the practical application of advanced vibration-analysis techniques for predictive maintenance. These joint efforts reinforce TWave’s ability to deliver reliable, future-ready monitoring solutions grounded in validated industrial research.

R+D Projects

  • Development of Predictive Maintenance Software Based on Artificial Intelligence

    Reference: IDE/2024/000516
    The objective of this development is to automate the processing of data collected by condition monitoring devices through the incorporation of artificial intelligence technologies to:

    • 1. Automate the identification of anomalies in the time series of critical performance indicators obtained from vibration data.
    • 2. Classify them by type of failure, while establishing weights for the different types.
    • 3. Automatically generate reports using generative artificial intelligence tools, providing information on these anomalies and failure modes, and preliminarily proposing a specific diagnosis and actions to be taken to the user.

    Co-financed by the European Union Co-financed by the European Union Asturias Science, Technology and Innovation Plan Science, Business Competitiveness and Innovation Agency of the Principality of Asturias

  • Stand-alone and modular data acquisition system for wind turbine condition monitoring

    Reference: IDE/2023/000382
    TWave, S.L. is developing the project 'Autonomous and modular data acquisition system oriented to the condition monitoring of wind turbines', within the framework of the call for grants for the implementation of R&D projects in the Principality of Asturias for the year 2023, co-financed by the Government of the Principality of Asturias through the SEKUENS AGENCY and the Science, Technology and Innovation Plan (PCTI) 2018-2022, as well as the European Union through the ERDF fund.

    Co-financed by the European Union Science, Business Competitiveness and Innovation Agency of the Principality of Asturias Asturias Science, Technology and Innovation Plan

  • New approach to predictive maintenance strategies in energy storage facilities with hydraulic pumps [HYDROSES]

    The main objective of the HYDROSES project is to increase the energy storage capacity of hydroelectric plants, which will make it possible to increase the share of renewable energy in the energy mix and promote the reduction of GHG emissions without disturbing the stability of the energy network. This objective will be addressed through various modifications and improvements in the operation of hydroelectric turbines to transform conventional hydroelectric plants into PHS facilities, improving their responsibility, flexibility and performance in both generating and pumping modes by developing of innovative predictive maintenance strategies and operation control, taking advantage of an innovative Digital Twin approach. Project CPP2021-009116, financed by MCIN/AEI/10.13039/501100011033 and by the European Union-NextGenerationEU/PRTR.

    Project CPP2021-009116, financed by MCIN/AEI/10.13039/501100011033 and by the European Union-NextGenerationEU/PRTR

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