Localization of cyclostationary acoustic sources via cyclostationary beamforming and its high spatial resolution implementation
C Zhang, R Wang, L Yu, Y Xiao, Q Guo, H Ji - Mechanical Systems and …, 2023 - Elsevier
The localization of cyclostationary sound sources is important for rotating machinery noise
source identification and fault diagnosis. Cyclostationary sound sources are a special class …
source identification and fault diagnosis. Cyclostationary sound sources are a special class …
Bearings fault diagnosis method based on MAM and deep separable dilated convolutional neural network
C Lei, J Shi, S Ma, L Xue, M Jiao… - Measurement Science and …, 2023 - iopscience.iop.org
Aiming at the problems of traditional fault diagnosis methods that do not represent the time
correlation between signals, low recognition accuracy under complex working conditions …
correlation between signals, low recognition accuracy under complex working conditions …
An incipient fault diagnosis method based on Att-GCN for analogue circuits
J Yang, Y Li, T Gao - Measurement Science and Technology, 2023 - iopscience.iop.org
Incipient faults for analogue circuits in modern electronic systems are difficult to diagnose
due to poor fault features. To address this issue, a method based on the attention weighted …
due to poor fault features. To address this issue, a method based on the attention weighted …
A diagnostic framework with a novel simulation data augmentation method for rail damages based on transfer learning
J Xie, Z Guo, T Wang, J Yang - Structural Health Monitoring, 2023 - journals.sagepub.com
The ultrasonic guide wave (UGW) has good application prospects in steel rail damage
diagnosis, but the features of the rail damage implied in the UGW are complex. Deep …
diagnosis, but the features of the rail damage implied in the UGW are complex. Deep …
Duct modal identification considering statistical dependency via the Boltzmann machine
X Zhou, H Li, L Yu, C Zhang, R Wang, K Gao… - Mechanical Systems and …, 2023 - Elsevier
The fan noise is the primary component of aero-engine noise. Duct acoustic modal
identification is essential for analyzing the mechanism of fan noise generation and …
identification is essential for analyzing the mechanism of fan noise generation and …
A Novel Bearing Fault Diagnosis Method Based on the DLM-CNN Framework
J Guo, W Wu, C Wang - 2023 38th Youth Academic Annual …, 2023 - ieeexplore.ieee.org
Bearings are critical components of rotating equipment with a high failure rate. Detecting
faults in bearings is essential for improving the reliability and safety of rotating mechanical …
faults in bearings is essential for improving the reliability and safety of rotating mechanical …
[HTML][HTML] Classification and redundancy quantitative evaluation algorithm for highly efficient fault diagnosis of rotary machines in roll-to-roll system
The roll-to-roll continuous process is a manufacturing technique widely used in several
industrial appliances, including electronic devices. Real-time monitoring and fault diagnosis …
industrial appliances, including electronic devices. Real-time monitoring and fault diagnosis …