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[HTML][HTML] A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems
High voltage direct current (HVDC) transmission systems represent a significant
development for future power systems due to presenting promising solutions for long …
development for future power systems due to presenting promising solutions for long …
[HTML][HTML] Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution
Over the last decades, safety requirements have become of primary concern. In the context
of safety, several strategies could be pursued in many engineering fields. Moreover, many …
of safety, several strategies could be pursued in many engineering fields. Moreover, many …
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
J Wang, Y Qian, L Zhang, K Wang, H Zhang - Energy Conversion and …, 2024 - Elsevier
Wind power prediction is crucial for successfully integrating large-scale wind energy with the
grid and achieving a carbon-neutral energy mix. However, previous studies encountered …
grid and achieving a carbon-neutral energy mix. However, previous studies encountered …
Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines
To overcome current challenges in variational mode decomposition (VMD) and its variants
for the fault diagnosis of rotating machines, the decomposing characteristics of two sub …
for the fault diagnosis of rotating machines, the decomposing characteristics of two sub …
SO-slope entropy coupled with SVMD: A novel adaptive feature extraction method for ship-radiated noise
Y Li, B Tang, S Jiao - Ocean Engineering, 2023 - Elsevier
Slope entropy (SloEn) has been applied as a powerful nonlinear dynamic tool for signal
complexity measurement and is widely used for ship-radiated noise signal (S-RNS) feature …
complexity measurement and is widely used for ship-radiated noise signal (S-RNS) feature …
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 …
A new underwater acoustic signal denoising method based on modified uniform phase empirical mode decomposition, hierarchical amplitude-aware permutation …
G Li, Y Han, H Yang - Ocean Engineering, 2024 - Elsevier
Underwater acoustic signal (UAS) denoising is base and prerequisite for UAS detection,
recognition and classification. In order to perform UAS denoising effectively, a new UAS …
recognition and classification. In order to perform UAS denoising effectively, a new UAS …
Generalized refined composite multiscale fuzzy entropy and multi-cluster feature selection based intelligent fault diagnosis of rolling bearing
Extracting the failure related information from vibration signals is a very important aspect of
vibration-based fault detection for rolling bearing Multiscale entropy and its improvement …
vibration-based fault detection for rolling bearing Multiscale entropy and its improvement …
Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series
A high-accuracy estimation of the runoff has always been an extremely relevant and
challenging subject in hydrology science. Therefore, in the current research, a novel hybrid …
challenging subject in hydrology science. Therefore, in the current research, a novel hybrid …
Time-varying damage detection in beam structures using variational mode decomposition and continuous wavelet transform
Civil engineering structures in operation are likely to suffer damage. During the service life,
structural damage evolves gradually from minor to severe. However, most current studies …
structural damage evolves gradually from minor to severe. However, most current studies …