Research on crack detection method of wind turbine blade based on a deep learning method

Z **aoxun, H **nyu, G **aoxia, Y **ng, X Zixu, W Yu… - Applied Energy, 2022 - Elsevier
For the propose of improving the economic benefits of wind turbine utilization, an image
recognition model based on deep learning called 'Multivariate Information You Only Look …

Blind interpolation for multi-frequency blade tip timing signals

S Chen, Y Yang, H Hu, F Guan, G Shen, Z Bian… - … Systems and Signal …, 2022 - Elsevier
Blade tip timing (BTT) is a promising non-contact on-line monitoring technique for rotor
blades. Although various analytical methods for BTT signals have been developed, their …

Characteristics analysis of blade tip timing signals in synchronous resonance and frequency recovery based on subspace pursuit algorithm

J Dong, H Li, Z Fan, X Zhao, D Wei, Y Chen - Mechanical Systems and …, 2023 - Elsevier
Long-term high cycle fatigue vibration will lead to the reduction of life of the blade. Blade Tip
Timing (BTT) technology is a research hotspot in the non-contact measurement of blades …

Detection of breathing cracks using physics-constrained hybrid network

S Zhao, C Cheng, M Lin, Z Peng - International Journal of Mechanical …, 2024 - Elsevier
During the operational lifespan of mechanical structures, the occurrence of “breathing”
cracks in structural components due to long-term dynamic loading poses a significant risk of …

Wind turbine blade defect detection with a semi-supervised deep learning framework

X Ye, L Wang, C Huang, X Luo - Engineering Applications of Artificial …, 2024 - Elsevier
To increase the economic efficiency of utilizing wind turbines, an enhanced object detection
model based on the small version of the fifth generation of the You Look Only Once …

Research on running status monitoring and rotating blade crack detection of large-scale centrifugal compressor based on blade tip timing technique

Z Fan, H Li, H Cao, J Dong - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The impeller is one of the core components of a large-scale centrifugal compressor, and its
performance directly affects the stability and safety of the centrifugal compressor. The non …

Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion

J Shen, D Song, T Ma, F Xu - Structural Health Monitoring, 2023 - journals.sagepub.com
On the condition of variable speeds, the blade crack signal generated by the single-mode
sensor is an inherent risk of being misled by noise. Besides, it is challenging to reach the …

Study on crack monitoring method of wind turbine blade based on AI model: Integration of classification, detection, segmentation and fault level evaluation

X Hang, X Zhu, X Gao, Y Wang, L Liu - Renewable Energy, 2024 - Elsevier
The stability of wind turbines is closely related to the economic benefits of wind energy. To
improve the stability of the wind turbine, a comprehensive image diagnosis method based …

Error revising of blade tip-timing parameter identification caused by frequency sweep rate

F Zhi, F Duan, M Liu, G Niu, J Jiao, Z Deng, J Jiang… - Measurement, 2022 - Elsevier
Blade tip-timing (BTT) is a rotating blade vibration measurement technology. It is a universal
and effective method to acquire blade tip displacement data by frequency sweep and …

Blade tip characteristics of turbine disks with cracks

D Wang, HR Cao, YY Zhang - Engineering Failure Analysis, 2022 - Elsevier
Crack detection of turbine disks is of great significance in aero-engine health monitoring.
The traditional non-destructive testing (NDT) methods are not applicable for in-situ or online …