Indra, one of the world’s leading technology and consulting companies, and the Spanish Navy successfully tested one of the world’s first artificial intelligence systems capable of self-learning and decision-making in this way.
This is one of the first solutions using artificial intelligence, from an experimental to a practical setting, which is mainly limited to the field of academic research. This type of intelligence is different from its current counterparts as, instead of learning the procedure to follow to solve a specific problem, the machine learns to identify problems through its own means without human assistance or being told how to do it, and applies logical operations that any computer can use to reach a solution.
In the case of Project Soprene, Indra engineers taught the system to understand how the engines of the F100 frigates and Offshore Patrol Vessels BAM worked, providing an enormous amount of detail and precision. With this information, the system was able to detect deviations in normal operations and predict engine failures experienced by ships in the last five years.
Indra used data records stored by the Spanish Navy’s Center for Data Monitoring and Analysis (CESADAR) in Cartagena, a leading center in the use of mechanical failure prediction techniques in Spain, to conduct tests and verify results.