Predictive maintenance of power industrial electronic equipment

Abstract

The purpose of this article is to present the concepts and equipment which is used in achieving predictive maintenance. Two case studies are presented here. The first shows the concept of maintenance for a single phase inverter based on tree analysis technique. This technique is based on the relation between the symptoms, the causes and the defects for the inverter, but can be extrapolated to another type of electronic equipment as well. The second study presents the equipment for achieving the predictive maintenance for a combination of electrical and electronic equipment. The SIMOCOD software module has the capability to make the on-line diagnosis. The diagnosis module for a 3 phase motor asynchronous is detailed in this study, highlighting the features and advantages in use it.