Fault diagnosis in machinery through vibration analysis

ABSTRACTFAULT DIAGNOSIS IN MACH NERY THROUGH VIBRATION ANALYSISKARAHAN, FatihCelal Bayar UniversityGraduate School of Natural and Applied SciencesDepartment of Mechanical Engineering, Master ThesisSupervisor : Doç. Dr. Erdoğan ÖZKAYAJuly 2005, 79 pagesThe occurance of sudden and unexpected defects in machinery not only hinders theproduction plan but also causes important financial losses. For that reason, predictivemaintenance takes an important part in machinery. The most important and comprehensivemethod for this is vibration analysis based on predictive maintenance. The main principle in thismethod is first to watch the performance of the machines with the measurements taken duringthe production, then to determine when the maintenance will be needed and to repair the defectdetermined before by having a short break in production. In this method, as the defect isdetermined beforehand and repaired in a short period, it doesn't cause any hindrance orfinancial losses during the production.Predictive maintenance has an important role in factories where the continuous production isvital. That it is used especially in steel, cement and paper industries provides the increase inproduction and as a result of this great benefits.In this study, predictive maintenance is performed by using vibration analysis at machinesthat are used in steel industry. For this purpose, periodical vibration measurements have beentaken from machinery and these vibration data have been evaluated with the frequency analysismethod and the failures have been tried to be determined. During the studies, a bearing defectand a journal bearing defect have been discovered.Key Words: Fault Diagnosis, Vibration Analysis, Predictive Maintenance.