Complete adaptive and sparsest analysis and its application to rotor rubbing fault diagnosis
Cheng Junsheng2,Liu Zhentao, Yang Yu
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State key Laboratory of Advanced Design and Manufacture for Vehicle Body，Hunan University，Changsha，Hunan, 410082，China
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History+
Received
Revised
Published
2016-08-08
2016-11-20
2018-01-28
Issue Date
2018-02-15
Abstract
of a parameter of controlling a component’s bandwidth must be determined artificially When using adaptive and sparsest time-frequency analysis (ASTFA) .A improper will lead to the problem of mode mixing.Complete adaptive and sparsest time-frequency analysis( CASTFA) was proposed to restrain such a drawback of ASTFA.CASTFA use the intrinsic mode function(IMF) generated by ensembleempirical mode decomposition (EEMD) as reference to adaptively determine the .the simulation example showed the CASTFA can restraining the mode mixing of ASTFA,and perform better than EEMD in restraining mode mixing.The practical rotor rubbing fault diagnosis result turned out that CASTFA is efficient.
Cheng Junsheng2,Liu Zhentao, Yang Yu.
Complete adaptive and sparsest analysis and its application to rotor rubbing fault diagnosis[J]. Journal of Vibration and Shock, 2018, 37(4): 165-169
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