Extracting the fault characteristic information of rolling bearings from intense noise disturbance has been a heated research issue. Symplectic geometry mode decomposition (SGMD) has already been adopted for bearing fault diagnosis due to its advantages of no subjective customization of parameters and the ability to reconstruct existing modes. However. SGMD suffers from rapidly decrea... https://www.inmuebleslasmercedes.com/product-category/dinner-forks/
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