SISTINMOT

INTELLIGENT ELECTRIC MOTORS AUTODIAGNOSTIC SYTEM BASED ON THE INTEGRATED ANALYSIS OF ELECTRICAL QUANTITIES (SISTINMOT) (REF: IN[19]_ING_ING_0083)

The ambitious objective of this project relies on developing an intelligent auto diagnostic system for electric motors. It must be able to determine, with great precision, the health condition of the machine. The system should identify the decrement in efficiency provoked by defects, faults and anomalies that could exist in the machine. Furthermore, the system must be capable to determine, in a reliable way, the severity of each fault and anomaly, so that the user can be informed on how it evolves over time. Additionally, the system must provide information on how to repair or immediately remove the detected fault or anomaly, offering the user a set of possible maintenance options that enable the repair of the fault or anomaly.

Duration: November 2019-March 2021 Principal Investigator: Prof. JOSE A ANTONINO-DAVIU