Enhancement of time-frequency post-processing readability for nonstationary signal analysis of rotating machinery: Principle and validation
D Zhang, Z Feng - Mechanical Systems and Signal Processing, 2022 - Elsevier
Rotating machinery signals are often composed of multiple components and are
nonstationary under practical time-varying conditions. In most cases, the constituent …
nonstationary under practical time-varying conditions. In most cases, the constituent …
Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform
Due to aging structures, deterioration is becoming an essential issue in the engineering and
facility management industry. Especially for nuclear power plants, the deterioration of …
facility management industry. Especially for nuclear power plants, the deterioration of …
Wind turbine planetary gearbox fault diagnosis via proportion-extracting synchrosqueezing chirplet transform
D Zhang, Z Feng - Journal of Dynamics, Monitoring and …, 2023 - ojs.istp-press.com
Wind turbine planetary gearboxes usually work under time-varying conditions, leading to
nonstationary vibration signals. These signals often consist of multiple time-varying …
nonstationary vibration signals. These signals often consist of multiple time-varying …
Real-time prediction framework for frequency-modulated multirotor noise
J Ko, J Jeong, H Cho, S Lee - Physics of Fluids, 2022 - pubs.aip.org
A comprehensive multirotor noise assessment framework is developed to predict the noise
of rotational-speed-controlled rotor configurations in real-time. The key objectives are to …
of rotational-speed-controlled rotor configurations in real-time. The key objectives are to …
Frequency-chirprate reassignment
In this paper, we consider a three-dimensional parameter space, which is the time-frequency-
chirprate (TFCR), to characterize the time-varying features of multi-component non …
chirprate (TFCR), to characterize the time-varying features of multi-component non …
On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals
In this paper, our goal is to compare different recent time-frequency (TF) approaches to
retrieve the modes of multicomponent signals (MCSs). While it is acknowledged that the …
retrieve the modes of multicomponent signals (MCSs). While it is acknowledged that the …
[HTML][HTML] A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision
In recent years, researchers have extensively explored the application of drive-by inspection
technology for bridge damage assessment. This approach involves using the response of a …
technology for bridge damage assessment. This approach involves using the response of a …
EEG-Driven biometric authentication for investigation of fourier synchrosqueezed transform-ICA robust framework
Biometric authentication systems have recently been gaining increased attention as an
integral part of modern civic life. Security surveillance systems encompass broad categories …
integral part of modern civic life. Security surveillance systems encompass broad categories …
Three-dimension extracting transform
X Zhu, Z Zhang, J Gao - Signal Processing, 2021 - Elsevier
In this paper, we consider a three-dimensional parameter space, which is the time-frequency-
chirprate (TFCR), to characterize the time-varying features of multi-component non …
chirprate (TFCR), to characterize the time-varying features of multi-component non …
[HTML][HTML] Photoacoustic 3-D imaging of polycrystalline microstructure improved with transverse acoustic waves
T Thréard, E de Lima Savi, S Avanesyan, N Chigarev… - Photoacoustics, 2021 - Elsevier
Non-invasive fast imaging of grain microstructure of polycrystalline ceria with sub-
micrometric spatial resolution is performed via time-domain Brillouin scattering. The …
micrometric spatial resolution is performed via time-domain Brillouin scattering. The …