Fault diagnosis method for rolling bearing

摘要: The invention discloses a fault diagnosis method for rolling bearing, and belongs to the technical field of signal processing analysis. High-frequency sampling preprocessing vibration signals are firstly performed on bearing with faults, preprocessed sequentially filtered by aid Morlet wavelet filter, spectral kurtosis unit calculated, filter parameter corresponding maximum value is selected comparison, namely, global optimization selected. According detection method, an operator can extract optimal in process without lot experience numerous historical data, wider application range, errors caused human greatly decreased, extracted be more accurate, result correct, automation facilitated, time saved, efficiency higher.