Connectivity fault diagnosis method of motor and its application
MA Hailong
WANG Jun
Abstract：In view of problem that connectivity fault feature of motor was identified difficultly,on the basis of mathematic models and spectrum characteristic of motor connectivity faults represented by misalignment,looseness and base stiffness,empirical mode decomposition method was proposed to process vibration signal of motor.Diagnosis result is gotten according to fault feature frequency.The field application results verify effectiveness of the method.
Keywords：motor faultconnectivity faultmisalignmentloosenessbase stiffnessempirical mode decomposition
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 77-81 )