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
A survey on Hilbert-Huang transform: Evolution, challenges and solutions
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 …
techniques such as Fourier Transform constitute an important progress in data analysis, but …
A review of variational mode decomposition in seismic data analysis
Signal processing techniques play an important role in seismic data analysis. Variational
mode decomposition (VMD), as a powerful signal processing method, has been extensively …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
Thus, it provides more information compared to other one‐dimensional methods. Several …