INTELMOT

The objective of this project is to leverage the extensive experience and knowledge of the project team to develop a system based on a network of smart sensors that will enable the monitoring of the condition of industrial powertrains driven by electric motors. These smart sensors will include primary sensors, as well as processing units suitable for applying cutting-edge techniques for diagnosing faults in the various components of the powertrain. The sensors in the network will be able to access a central processor to fuse information and provide more accurate and comprehensive diagnoses of the motor's condition, as well as that of the other components of the powertrain (drive, coupling system, load).

More specifically, the aim is to implement a network of smart sensors that utilizes different communication protocols and can be easily integrated into any drivetrain (regardless of its type, operating conditions, and characteristics) to arrive at a reliable conclusion about its condition. The project will develop different configurations of smart sensor networks and IP cores. Furthermore, various signal acquisition methodologies and signal analysis and artificial intelligence techniques will be used to determine the most robust methods for detecting faults in drivetrain components. The selection of these sensors will be coordinated to provide complementary information about the drivetrain's condition, covering the different faults and anomalies that may occur and preventing potential false diagnoses that could have negative consequences for the drivetrain.

Additionally, an efficiency calculation algorithm will be incorporated to determine the performance of the different components of the chain by quantifying how it is affected by the health of each component.

Duration: September 2025- September 2028     Principal Investigator: Prof. JOSE A ANTONINO-DAVIU