A survey on Hilbert-Huang transform: Evolution, challenges and solutions

UB de Souza, JPL Escola, L da Cunha Brito - Digital Signal Processing, 2022 - Elsevier
Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …

A review of variational mode decomposition in seismic data analysis

W Liu, Y Liu, S Li, Y Chen - Surveys in Geophysics, 2023 - Springer
Signal processing techniques play an important role in seismic data analysis. Variational
mode decomposition (VMD), as a powerful signal processing method, has been extensively …

Information Flow between Global Equities and Cryptocurrencies: A VMD‐Based Entropy Evaluating Shocks from COVID‐19 Pandemic

E Asafo-Adjei, P Owusu Junior, AM Adam - Complexity, 2021 - Wiley Online Library
The world has witnessed the adverse impact of the COVID‐19 pandemic. Accordingly, it is
expected that information transmission between equities and digital assets has been altered …

Application of time‐frequency analysis in rotating machinery fault diagnosis

Y Bai, W Cheng, W Wen, Y Liu - Shock and Vibration, 2023 - Wiley Online Library
Fault diagnosis is an important means to ensure the safe and reliable operation of
mechanical equipment. In machinery fault diagnosis, collecting and mining the potential fault …

Induction motor bearing fault diagnosis based on singular value decomposition of the stator current

Y Zhukovskiy, A Buldysko, I Revin - Energies, 2023 - mdpi.com
Among the most widespread systems in industrial plants are automated drive systems, the
key and most common element of which is the induction motor. In view of challenging …

Hydraulic directional valve fault diagnosis using a weighted adaptive fusion of multi-dimensional features of a multi-sensor

J Shi, Y Ren, H Tang, J **ang - Journal of Zhejiang University-SCIENCE A, 2022 - Springer
Because the hydraulic directional valve usually works in a bad working environment and is
disturbed by multi-factor noise, the traditional single sensor monitoring technology is difficult …

Unknown bearing fault diagnosis under time-varying speed conditions and strong noise background

J Yang, C Yang, X Zhuang, H Liu, Z Wang - Nonlinear Dynamics, 2022 - Springer
The bearing vibration signal shows strong non-stationary property under time-varying speed
conditions. In addition, the weak bearing fault characteristic is often submerged in strong …

[HTML][HTML] Utilizing SVD and VMD for denoising non-stationary signals of roller bearings

Q Wang, L Wang, H Yu, D Wang, AK Nandi - Sensors, 2021 - mdpi.com
In view of the fact that vibration signals of rolling bearings are much contaminated by noise
in the early failure period, this paper presents a new denoising SVD-VMD method by …

Fault identification of direct-shift gearbox using variational mode decomposition and convolutional neural network

R Kumar, P Kumar, G Vashishtha, S Chauhan… - Machines, 2024 - mdpi.com
The direct-shift gearbox is widely used in many applications, such as automotive and
aerospace, due to its large transmission ratio and high transmission efficiency. Rough and …

A Review on the Applications of Time‐Frequency Methods in ECG Analysis

BK Pradhan, BC Neelappu… - Journal of …, 2023 - Wiley Online Library
The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …