Aiming at the difficulty of extracting fault information from weak faults of early rolling bearings under the strong noise industrial environment,an improved adaptive resonance sparse analysis decomposition fault diagnosis method is proposed.Firstly,the variational mode decomposition method is used to reduce the noise of the original signal.Then,according to the relevant steepness criterion,the decomposition signal containing more fault information is reconstructed.The resonance sparse decomposition of the re-constructed signal based on the artificial gorilla troop optimization algorithm,and the low resonance component Hilbert envelope spec-trum containing fault information was analyzed to extract the fault frequency information.Experimental and simulation results prove the effectiveness and accuracy of the fault diagnosis method.
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