Wavelet packet decomposition-based multiscale CNN for fault diagnosis of wind turbine gearbox
This article presents an intelligent fault diagnosis method for wind turbine (WT) gearbox by
using wavelet packet decomposition (WPD) and deep learning. Specifically, the vibration …
using wavelet packet decomposition (WPD) and deep learning. Specifically, the vibration …
Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm
An intelligent defect identification scheme has been proposed to identify the taper roller
bearing defects through the extreme learning machine (ELM) model. The raw vibration …
bearing defects through the extreme learning machine (ELM) model. The raw vibration …
[HTML][HTML] Numerical and experimental simulation of gas-liquid two-phase flow in 90-degree elbow
R Zahedi, AB Rad - Alexandria Engineering Journal, 2022 - Elsevier
In the present research, the effects of four 90-degree horizontal elbows with different
curvature radii (17, 34, 51, and 68 cm) and an identical rectangular cross-section (20* 34 …
curvature radii (17, 34, 51, and 68 cm) and an identical rectangular cross-section (20* 34 …
A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction
Accurate wind speed prediction is critical for many tasks, especially for air pollution
modelling. Data-driven approaches are particularly interesting but the stochastic nature of …
modelling. Data-driven approaches are particularly interesting but the stochastic nature of …
Permutation entropy-based 2D feature extraction for bearing fault diagnosis
Bearing fault diagnosis based on the classification of patterns of permutation entropy is
presented in this paper. Patterns of permutation entropy are constructed by using non …
presented in this paper. Patterns of permutation entropy are constructed by using non …
Related entropy theories application in condition monitoring of rotating machineries
Rotating machinery plays an important role in various kinds of industrial engineering. How to
assess their conditions is a key problem for operating safety and condition-based …
assess their conditions is a key problem for operating safety and condition-based …
Color recurrence plots for bearing fault diagnosis
This paper presents bearing fault diagnosis using the image classification of different fault
patterns. Feature extraction for image classification is carried out using a novel approach of …
patterns. Feature extraction for image classification is carried out using a novel approach of …
Classification of bearing vibration speeds under 1D-LBP based on eight local directional filters
Bearings are the most commonly used machine element in order to reduce rotational friction
in machines and to compensate radial and axial loads. It is very important to determine the …
in machines and to compensate radial and axial loads. It is very important to determine the …
Compound fault diagnosis of rolling bearings based on improved tunable Q-factor wavelet transform
Y Hu, Q Zhou, J Gao, J Li, Y Xu - Measurement Science and …, 2021 - iopscience.iop.org
In order to solve the difficulty of compound fault diagnosis of rolling bearings, a novel rolling
bearings fault diagnosis method based on improved tunable Q-factor wavelet transform …
bearings fault diagnosis method based on improved tunable Q-factor wavelet transform …
Bearing faults classification under various operation modes using time domain features, singular value decomposition, and fuzzy logic system
F Gougam, C Rahmoune… - Advances in …, 2020 - journals.sagepub.com
Nowadays, multi-fault diagnosis has become the most interesting topic for researchers,
since it has lately attracted a substantial attention. The most published works recently have …
since it has lately attracted a substantial attention. The most published works recently have …