The PreditMot4Future project is redefining electric motor maintenance by combining artificial intelligence and automated diagnostics to boost industrial efficiency.
The PreditMot4Future project, promoted by Enging – Make Solutions SA and co-financed by COMPETE 2030, emerges as a strategic response to the challenges of Industry 4.0. In a context where energy efficiency, equipment reliability, and reduced operating costs are priorities, this project relies on an advanced technological approach to transform how electric motors are monitored and maintained.
The challenge of motor monitoring
Electric motors are essential for the operation of numerous industrial processes, accounting for a significant portion of global energy consumption. However, traditional monitoring methods—often manual or based on isolated systems—prove to be limited, expensive, and ineffective in preventing failures.
Unexpected failures can translate into significant losses, both in terms of energy consumption and productivity, due to unplanned downtime. This scenario highlights the need for solutions that allow for continuous, integrated, and intelligent monitoring, capable of anticipating problems and optimizing equipment operation.
An intelligent and autonomous platform
PreditMot4Future proposes an innovative solution that integrates real-time data analysis, machine learning, and artificial intelligence, eliminating the need for human intervention in fault diagnosis.
According to Jorge Estima, VP of Product at Enging and Principal Investigator of the project, “PreditMot4Future was designed to respond to the challenges of Industry 4.0 through an intelligent approach to the maintenance of electric motors, combining periodic acquisition of electrical signals, resource engineering, and artificial intelligence models for early fault detection, estimation of their severity, and consequent support in planning maintenance actions.”
This approach allows not only the identification of faults before they become critical, but also provides relevant information for more efficient management of industrial assets.
Technological Development and Results Achieved
One of the project’s milestones is the development of an advanced experimental infrastructure, essential for validating the proposed solutions. As Jorge Estima points out, “among the results already achieved, the development of an experimental bench capable of introducing, in a controlled, safe, and repeatable manner, short circuits between coils stands out, creating the necessary conditions for collecting high-quality data.”
This controlled environment allows for the training and validation of artificial intelligence algorithms with high rigor, guaranteeing the reliability of the results. “The goal is to extend this experimental base to other failure modes and make the AI model outputs available on the online platform to support maintenance teams in managing their equipment,” explains Gonçalo Abrantes, Head of AI at Enging and responsible for AI Development in the PreditMot4Future Project.
Market and Industry Impact
The global market for remote motor monitoring is experiencing accelerated growth, driven by the adoption of IoT technologies and the need for asset optimization. However, many existing solutions operate in isolation, without data integration or advanced analytical capabilities.
PreditMot4Future positions itself as a differentiating response, introducing an integrated platform capable of correlating multiple data sources and generating actionable insights. This innovation represents a clear opportunity for disruption in an evolving market.
The role of COMPETE 2030 funding
Support from COMPETE 2030 has been crucial to the project’s progress. As Jorge Estima points out, “the funding allowed us to strengthen the project’s R&D capacity, acquire and integrate the necessary technological resources, develop the experimental bench, validate methodologies in a controlled environment, and accelerate the incorporation of results into the digital platform.”
This contribution was essential to reduce technological risk and accelerate development, allowing the solution to achieve significant industrial impact.
A step towards the industry of the future
By combining technological innovation, artificial intelligence, and a strong experimental component, PreditMot4Future represents a significant advance in the monitoring and maintenance of electric motors. More than just a technical solution, this is a concrete contribution to a more efficient, sustainable industry, better prepared for the challenges of the future.
Link to original news (PT): https://c2030website.azurewebsites.net/comunicacao/o-futuro-do-diagnostico-automatico-de-motores-eletricos/
