Noise eliminated ensemble empirical mode decomposition for bearing fault diagnosis
Purpose Although noise-assisted decomposition methods, ensemble empirical mode
decomposition (EEMD) and complementary EEMD (CEEMD) can reduce the drawbacks of …
decomposition (EEMD) and complementary EEMD (CEEMD) can reduce the drawbacks of …
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 …
Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions
Rolling bearings are crucial components in the fields of mechanical, civil, and aerospace
engineering. They sometimes work under various operating conditions, which makes it …
engineering. They sometimes work under various operating conditions, which makes it …
A novel vibro-acoustic fault diagnosis method of rolling bearings via entropy-weighted nuisance attribute projection and orthogonal locality preserving projections …
Accurate fault pattern recognition under various operating conditions is a huge challenge for
vibro-acoustic fault diagnosis of rolling bearings. Traditional feature fusion methods are …
vibro-acoustic fault diagnosis of rolling bearings. Traditional feature fusion methods are …
[PDF][PDF] A comparative analysis and predicting for breast cancer detection based on data mining models
SF Khorshid, AM Abdulazeez… - Asian Journal of Research …, 2021 - dl.safirdep.com
Breast cancer is one of the most common diseases among women, accounting for many
deaths each year. Even though cancer can be treated and cured in its early stages, many …
deaths each year. Even though cancer can be treated and cured in its early stages, many …
Sound-aided fault feature extraction method for rolling bearings based on stochastic resonance and time-domain index fusion
H Shi, Y Li, X Bai, K Zhang - Applied Acoustics, 2022 - Elsevier
The vibration signals of rolling bearings contain a large amount of running information, and
have been widely applied in fault diagnosis and status monitoring. However, the fault …
have been widely applied in fault diagnosis and status monitoring. However, the fault …
A new metric for reliable diagnosis of rotating machines applied to a multi-fault rotor using Bayesian neural networks
This paper dedicates itself to filling the gap in reliable data-driven diagnoses through
uncertainty quantification for different rotor fault identifications. Three signal-processing …
uncertainty quantification for different rotor fault identifications. Three signal-processing …
Research on constructing a degradation index and predicting the remaining useful life for rolling element bearings of complex equipment
L Zhao, Y Zhang, J Li - Journal of Mechanical Science and Technology, 2021 - Springer
Due to the interference of complex transmission path and noise, the weak characteristic
signal of a fault in complex equipment is difficult to extract, and then it is hard to establish an …
signal of a fault in complex equipment is difficult to extract, and then it is hard to establish an …
A novel multivariate signal processing-based fault diagnosis approach of rotating machinery under various operating conditions
Compared with signals collected by the single sensor, the collected multivariate signals
contain more information to reflect the state of mechanical equipment, which has a positive …
contain more information to reflect the state of mechanical equipment, which has a positive …
New Cointegration-Based Feature Extraction Technique for Intelligent Bearing Fault Detection Under Time-Varying Speed
An effective feature vector generation approach is herein presented based on the
cointegration concept and the signal processing methods in order to improve varying speed …
cointegration concept and the signal processing methods in order to improve varying speed …