An Optimized Modulation Signal Bispectrum for Bearing Fault Diagnosis

Abstract

AbstractRolling element bearings are widely used in rotating machines and play an important role in supporting the rotor and minimizing friction during the operation. The health conditions of bearings have a significant influence on the reliability and safety of rotating machines and hence condition monitoring of bearings is of great significance. The modulation signal bispectrum (MSB) is an outstanding approach for early fault detection and diagnosis of bearings. To further improve the performance of the MSB method, an optimized method is proposed to enhance the noise reduction capability for a more accurate fault diagnosis. The MSB matrixes are automatically selected to remove the improper estimation for the following ensemble averaging according to the amplitude and phase of the coupled components. Both simulation and experimental studies demonstrate the effectiveness of the proposed optimized MSB method for bearing.KeywordsMSBDemodulation analysisRolling element bearingFault diagnosis