Wavelet and Scalar Indicator based Fault Assessment Approach for Rolling Element Bearings

摘要: Abstract A failed rolling element bearing when removed from a machine mostly displays cracks and flaking. Identification of such defects along with the severity damage may avoid malfunctioning breakdown machines. The aim this paper is to diagnose faults asses defect using vibration signal processing techniques. For purpose, application spline wavelets in finding existence flaws use scalar indicator determining initial stage degradation has been illustrated. Parameters have identified on basis visual similarity, correlation coefficient maximum mutual entropy. Further, new developed quantify level bearing. Results analysis yielded adequate fault related information at inner race, outer race components deep groove ball