شماره ركورد كنفرانس :
583
عنوان مقاله :
Detecting localized defects in angular contact ball bearing based on spectrum analysis
عنوان به زبان ديگر :
Detecting localized defects in angular contact ball bearing based on spectrum analysis
پديدآورندگان :
Riahi Mohammad نويسنده Iran University of Science and Technology - Department of mechanical Engineering , Zarga Hamidreza نويسنده Iran University of Science and Technology - Department of mechanical Engineering , Faraji ghanat Mohammad نويسنده Iran University of Science and Technology - Department of mechanical Engineering
كليدواژه :
Vibration signal , Signal analysis , FFT , ball bearing
عنوان كنفرانس :
نهمين كنفرانس ملي نگهداري و تعميرات
چكيده لاتين :
Due to the importance of rolling bearings as the most widely used machine elements, it is necessary to establish a suitable condition monitoring procedure to prevent catastrophic damages. It is therefore, important to monitor the condition of the bearings and to know the severity of the defects before they whould cause serious catastrophic damages. This paper describes a method for detecting localized bearing defects based on spectrum analysis. Bearing race and ball faults have been detected by using Fast Fourier Transform (FFT). The Fast Fourier Transform (FFT) can detect the frequencies of damages which appeared during the vibration analysis of a ball bearing. Vibration signals from ball bearings having a defect (defects created artificially) on inner race and on balls have been considered for analysis for comparison with healthy one.
شماره مدرك كنفرانس :
4490309
