Análisis de vibraciones como método de mantenimiento predictivo en máquinas rotativas.

Abstract

Predictive maintenance based on vibrations aims to ident ify and anticipate machinery failures before critical breakdowns occur. This has a significant posit ive impact on the personnel working in the maintenance area. This thesis aims to implement vibrat ion analysis software to improve predictive maintenance in rotating machinery. The samples for this study were taken from the ammonia compressors area of the company EUROFISH S.A. These samples were analyzed in detail, and based on the results, recommendat ions were made to the company on how to proceed. By ant icipat ing potential problems, intervent ion measures can be taken efficient ly and in a timely manner, although the response will always depend on the magnitude of the fault, as will be observed in the following study.