Detailed Study of Rolling Bearing Element Faults in Rotating Electrical Machines using MVSA Technique
AbstractThis paper presents the mechanical fault detection in squirrel cage induction motors (SCIMs). In this study, the rolling bearing element (RBE) faults in SCIM are diagnosed. Rolling bearing element faults are the major problem among different faults, which cause catastrophic damage to rotating machinery. So, early detection of the RBE faults in SCIMs is a very important step. Vibration analysis is one of the key words of the mechanical vibrations for rotating electrical machines. This technique is generally called motor vibration signature analysis (MVSA) which is based on the vibration image. The vibration signal analysis is a one of the most important methods in the fault detection field. MVSA is generally based on fast Fourier transform (FFT) of the vibration signal. This paper has utilized the MVSA-FFT in detail in order to detect the RBE faults. In addition, this study shows a new overlap between the characteristic frequencies of the RBE faults. In order to make an accurate analysis; it is important to know this overlap in advance. This new overlap has the advantage of expressing it by specific formulas which allows us to verify the additional harmonics carefully. The acquisition data is performed experimentally in order to ensure a wise decision.
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