Fault diagnosis of planetary gearbox based on acoustic signals
The reliability of planetary gearbox is extremely important for safe and reliable operation. In
this work, a fault diagnosis method based on acoustic signals is proposed for planetary …
this work, a fault diagnosis method based on acoustic signals is proposed for planetary …
Adaptive power spectrum Fourier decomposition method with application in fault diagnosis for rolling bearing
J Zheng, S Huang, H Pan, J Tong, C Wang, Q Liu - Measurement, 2021 - Elsevier
Fourier decomposition method (FDM) is a recently proposed method for non-stationary
signal decomposition. In FDM, the conditions for determining mono-components are easy to …
signal decomposition. In FDM, the conditions for determining mono-components are easy to …
Ramanujan Fourier mode decomposition and its application in gear fault diagnosis
J Cheng, Y Yang, Z Wu, H Shao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an important part of rotating machinery, gear is easy to appear some unexpected fault
states, and its fault diagnosis is very important. Fourier decomposition method (FDM) is a …
states, and its fault diagnosis is very important. Fourier decomposition method (FDM) is a …
DPNet: Detail-preserving image deraining via learning frequency domain knowledge
The quality of images captured in rainy days is severely degraded, which affects the
accuracy of subsequent computer vision tasks. Recently, many deep learning-based …
accuracy of subsequent computer vision tasks. Recently, many deep learning-based …
Enhancement of adaptive mode decomposition via angular resampling for nonstationary signal analysis of rotating machinery: Principle and applications
D Zhang, Z Feng - Mechanical Systems and Signal Processing, 2021 - Elsevier
Vibration signal analysis provides an effective approach for condition monitoring and fault
diagnosis of rotating machines. Under time-varying conditions, vibration signals feature …
diagnosis of rotating machines. Under time-varying conditions, vibration signals feature …
Energy saving control and operation strategy analysis of thermal coupling system of fuel cell and metal hydride tank
J Liu, F Yang, Z Wu, Z Zhang - International Journal of Hydrogen Energy, 2023 - Elsevier
The thermal coupling system (TCS), where the heat generated by proton exchange
membrane fuel cell (PEMFC) is transferred to the metal hydride (MH) tank, has been …
membrane fuel cell (PEMFC) is transferred to the metal hydride (MH) tank, has been …
A fast approach of implementing the Fourier decomposition method for nonlinear and non-stationary time series analysis
Abstract The Fourier Decomposition Method (FDM) is an advanced tool to gather information
about signals from nonlinear and/or non-stationary systems. It decomposes a signal into a …
about signals from nonlinear and/or non-stationary systems. It decomposes a signal into a …
Separation of overlap** non-stationary signals and compressive sensing-based reconstruction using instantaneous frequency estimation
SM Shareef, MVG Rao - Digital Signal Processing, 2024 - Elsevier
Compressive sensing uses an incomplete sample set to consider signal reconstruction with
sparse basis representations over a specific transform domain. This work examines the …
sparse basis representations over a specific transform domain. This work examines the …
Period enhanced feature mode decomposition and its application for bearing weak fault feature extraction
J Zuo, J Lin, Y Miao - Measurement Science and Technology, 2024 - iopscience.iop.org
Decomposition methods which can separate the fault components into different modes have
been widely applied in bearing fault diagnosis. However, early fault diagnosis is always a …
been widely applied in bearing fault diagnosis. However, early fault diagnosis is always a …