Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission

Abstract

In this study, an experimental system was built to acquire vibration and acoustic emission (AE) signals from faulted bearings methodology based on cepstrum pre-whitening (CPW), tested for vibration signals, and was applied for both types of signals to compare and enhance results on machining condition monitoring. The methodology was applied to 9 vibration and 9 AE signals from the experimental system database. For the 18 analyzed signals, in 5 the identification of fault components was easily made, in 12 the fault identification was possible, and in 1 the identification was not completed. The comparison between vibration and AE from 9 tests of experimental system results in 6, vibration has a better result than AE, specifically in the inner race and rolling element faults, for the remaining 3 tests that correspond to outer race fault, AE has a better result.