Novel particle swarm optimization-based variational mode decomposition method for the fault diagnosis of complex rotating machinery

XB Wang, ZX Yang, XA Yan - IEEE/ASME Transactions on …, 2017 - ieeexplore.ieee.org
The vibration signals of faulty rotating machinery are typically nonstationary, nonlinear, and
mixed with abundant compounded background noise. To extract the potential excitations …
被引用次数：260 相关文章
[PDF] researchgate.net

[PDF][PDF] Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

XB Wang, ZX Yang, XA Yan - IEEE/ASME TRANSACTIONS ON …, 2018 - researchgate.net
The vibration signals of faulty rotating ma-chinery are typically nonstationary, nonlinear, and
mixed with abundant compounded background noise. To extract the potential excitations …

Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

XB Wang, ZX Yang, XA Yan - 2018 - repository.um.edu.mo
The vibration signals of faulty rotating machinery are typically nonstationary, nonlinear, and
mixed with abundant compounded background noise. To extract the potential excitations …

Novel particle swarm optimization-based variational mode decomposition method for the fault diagnosis of complex rotating machinery

XB Wang, ZX Yang, XA Yan - 2018 - repository.um.edu.mo
The vibration signals of faulty rotating machinery are typically nonstationary, nonlinear, and
mixed with abundant compounded background noise. To extract the potential excitations …