Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis
Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
and their diagnosis can thus be conducted by extracting fault-induced modulation features …
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …
role in industrial applications. It generally operates under tough working environment and is …
Successive variational mode decomposition
Variational mode decomposition (VMD) is a powerful technique for concurrently
decomposing a signal into its constituent intrinsic modes. However, the performance of VMD …
decomposing a signal into its constituent intrinsic modes. However, the performance of VMD …
Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis
Signal decomposition is an effective tool to assist identification of modal information in time-
domain signals. Two signal decomposition methods, including the empirical wavelet …
domain signals. Two signal decomposition methods, including the empirical wavelet …
Variational mode decomposition
During the late 1990s, Huang introduced the algorithm called Empirical Mode
Decomposition, which is widely used today to recursively decompose a signal into different …
Decomposition, which is widely used today to recursively decompose a signal into different …
Nonlinear chirp mode decomposition: A variational method
Variational mode decomposition (VMD), a recently introduced method for adaptive data
analysis, has aroused much attention in various fields. However, the VMD is formulated …
analysis, has aroused much attention in various fields. However, the VMD is formulated …
Trading volume and realized volatility forecasting: Evidence from the China stock market
The existing contradictory findings on the contribution of trading volume to volatility
forecasting prompt us to seek new solutions to test the sequential information arrival …
forecasting prompt us to seek new solutions to test the sequential information arrival …
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 …
mixed with abundant compounded background noise. To extract the potential excitations …
Time-frequency reassignment and synchrosqueezing: An overview
This article provides a general overview of time-frequency (TF) reassignment and
synchrosqueezing techniques applied to multicomponent signals, covering the theoretical …
synchrosqueezing techniques applied to multicomponent signals, covering the theoretical …
Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool
The EMD algorithm is a technique that aims to decompose into their building blocks
functions that are the superposition of a (reasonably) small number of components, well …
functions that are the superposition of a (reasonably) small number of components, well …