Producción CyT

XX Workshop on Information Processing and Control (RPIC) - Detección de Fallas Mecánicas en Accionamientos del Motor de Inducción: Estado del Arte

Congreso

Autoría:

Giraldo, Esteban ; Verucchi, Carlos ; BOSSIO, JOSE MARIA

Fecha:

2023

Editorial y Lugar de Edición:

XX Workshop on Information Processing and Control (RPIC)

Resumen *

Over the past decades, new techniques for detecting electrical and mechanical faults in induction motors have been developed and implemented at an industrial level. These techniques offer significant advantages compared to traditional tools, such as vibration analysis or insulation resistance measurement of windings. Some of the most notable advantages include their non-invasive nature and the ability to provide real-time or in-service machine diagnostics. This article presents the most studied alternatives, especially Stator Current Monitoring and the Electrical Torque transmitted by the motor. Recently, some authors have demonstrated the possibility of extending the use of some of these techniques to detect faults in the machine driven by the motor and in the kinematic chain. Thus, the induction motor can be considered as a suitable sensor for monitoring the behavior of the mechanical coupling, the speed reducer, and the machine itself. In this regard, the literature presents various proposals, many of which are based on artificial intelligence tools. Here, we provide a review of the most important ones, analyzing their potential in each case. Información suministrada por el agente en SIGEVA

Palabras Clave

MECHANICAL FAULTSARTIFICIAL INTELLIGENCEINDUCTION MOTORSMONITORING ONLINE