Predictive maintenance of power industrial electronic equipment

CATEGORY: PREDICTIVE MAINTENANCE
Predictive maintenance of power industrial electronic equipment

Type	Journal Article
Author	George Robert Şişman
Author	Mihai Oproescu
URL	Free Full Text Source:  http://jeeeccs.net/index.php/journal/article/view/18
Volume	1
Issue	2
Pages	21-30
Publication	Journal of Electrical Engineering, Electronics, Control and Computer Science
Date	2016/02/25
Abstract	Presents 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.