A fault diagnosis method for rolling bearing based on empirical mode decomposition and homomorphic filtering demodulation

摘要

A new fault diagnosis method based on empirical mode decomposition (EMD) and homomorphic filtering demodulation is proposed for rolling bearing. The vibration signal of fault rolling bearing is decomposed into a series of intrinsic mode functions (IMFs) by EMD, then extract the envelopes from the outstanding IMFs with various fault characteristic information by homomorphic filtering demodulation and Hilbert envelope demodulation, and do the comparison analysis. The research results show that homomorphic filtering demodulation is superior to Hilbert envelope demodulation, and the combination of EMD and homomorphic filtering demodulation is an effective approach for rolling bearing fault diagnosis.