Local characteristic-scale decomposition (LCD) is an adaptive signal decomposition method proposed to overcome the shortcomings of mean curve construction in empirical mode decomposition (EMD) and has been applied to mechanical fault diagnosis.However

LCD also has the mode mixing problem that exists in EMD.Based on the construction of masking signal with uniform phase difference

the adaptive mask signal ensemble local characteristic-scale decomposition (AMSELCD) is proposed in this paper to adaptively decompose a complex signal into several intrinsic mode functions and a residue

which can effectively alleviate the mode mixing phenomenon of LCD.AMSELCD is compared with various existing methods for restraining mode mixing through simulation signal analysis and the results show the effectiveness and superiority of the proposed method.Finally

aiming at the modulation characteristics of fault signals of rolling bearing and rotor rubbing

the proposed AMSELCD method is applied to the fault diagnosis of rotor rubbing and rolling bearing

and the experimental comparison analysis results further verify the effectiveness and superiority of AMSELCD.