To extract more distinguishing features of ships, slope entropy (SloE) is introduced into
underwater acoustic signal processing as a new feature to analyze ship-radiated noise …

Recently, coded permutation entropy has been proposed, which enhances the noise
immunity by quadratic partitioning on the basis of permutation entropy. However, coded …

Lempel-Ziv complexity (LZC) is one of the most important metrics for detecting dynamic
changes in non-linear signals, but due to its dependence on binary conversion, LZC tends to …

To promote the effect of variational mode decomposition (VMD) and further enhance the
recognition performances of bearing fault signals, genetic algorithm (GA) is applied to …

Fuzzy dispersion entropy (FuzzDE) is a very recently proposed non-linear dynamical
indicator, which combines the advantages of both dispersion entropy (DE) and fuzzy entropy …

A novel approach for identifying the impeller defects in the centrifugal pump has been
demonstrated by extracting the single-valued neutrosophic cross-entropy (SVNCE) of …

Abstract Dispersion Lempel–Ziv complexity (DLZC) and multiscale DLZC (MDLZC) are very
recently introduced complexity indicators to quantify the dynamic change of time series in …

The complexity of maritime noise and the time-variability of hydroacoustic channels make it
more and more difficult to extract feature from ship-radiated noise effectively. To accurately …

Monitoring the operation status of the gas pipeline is of great significance to ensure the safe
and stable operation of the pipeline. A new framework combining the acoustic features …

Complicated and changeable ocean environment causes the particularity of ocean
background noise. Therefore, feature extraction of ship radiated noise is an urgent problem …