Nov 11, 2021 · Through the simulation signal and gear fault signal analysis, the results show that, compared with MEMD and MVMD methods, MNSMD method can ...

Through the simulation signal and gear fault signal analysis, the results show that, compared with MEMD and MVMD methods, MNSMD method can effectively complete ...

The analysis results of simulation signals and planetary gearbox fault signals indicate that the proposed NSMD method is effective for raw vibration signals.

Jun 15, 2023 · Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis. Mech. Mach. Theory. (2021). Y. Zhou et al. A ...

Multivariate local fluctuation mode decomposition and its application to gear fault diagnosis ; Journal: Measurement, 2023, p. 112769 ; Publisher: Elsevier BV.

Aug 9, 2023 · As a new signal decomposition method, sparse random mode decomposition (SRMD) does not depend on the signal sampling process and has good anti- ...

This study defines nine multivariate mean curve extraction methods and introduces the multivariate intrinsic wave-characteristic decomposition (MIWD) method ...

Sep 1, 2022 · Zheng, Y. Yang, et al., Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis, Mech. Mach. Theory 155 ...

Multivariate nonlinear sparse mode decomposition and its application in gear fault diagnosis ... non-recursive variational mode decomposition model, where the ...

The improved DMD algorithm successfully extracts the fault characteristics of rolling bearing fault signals when it is utilized for mechanical signal feature ...