Identification of Coating Layer Pipeline Defects Based on the GA-SENet-ResNet18 Model DOI

S.. Wang,

Wei Liang,

Fang Shi

et al.

International Journal of Pressure Vessels and Piping, Journal Year: 2024, Volume and Issue: unknown, P. 105327 - 105327

Published: Sept. 1, 2024

Language: Английский

Elman neural network considering dynamic time delay estimation for short-term forecasting of offshore wind power DOI
Jing Huang, Rui Qin

Applied Energy, Journal Year: 2024, Volume and Issue: 358, P. 122671 - 122671

Published: Jan. 21, 2024

Language: Английский

Citations

19
Leak detection in pipelines based on acoustic emission and growing neural gas network utilizing unlabeled healthy condition data DOI
Anil K. Mishra,

Jogin Dhebar,

Bimal Das

et al.

Flow Measurement and Instrumentation, Journal Year: 2025, Volume and Issue: unknown, P. 102816 - 102816

Published: Jan. 1, 2025

Language: Английский

Citations

1
Microleakage Acoustic Emission Monitoring of Pipeline Weld Cracks under Complex Noise Interference: A Feasible Framework DOI
Zhifen Zhang, Jing Huang,

Yan-Long Yu

et al.

Journal of Sound and Vibration, Journal Year: 2025, Volume and Issue: unknown, P. 118980 - 118980

Published: Jan. 1, 2025

Language: Английский

Citations

1
Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network DOI
Yanlong Yu, Zhifen Zhang, Jing Huang

et al.

NDT & E International, Journal Year: 2024, Volume and Issue: 148, P. 103232 - 103232

Published: Sept. 3, 2024

Language: Английский

Citations

4
A multi-source heterogeneous information fusion network for comprehensive assessment of spot welding quality DOI
Wei Dai, Xiaochuan Sun, Wanliang Zhang

et al.

Journal of Manufacturing Processes, Journal Year: 2025, Volume and Issue: 135, P. 142 - 160

Published: Jan. 18, 2025

Language: Английский

Citations

0
Optimized modal decomposition techniques for robust leakage detection in noisy environments: A comparative study DOI
Jialin Cui, Xianqiang Qu, Chunwang Lv

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117390 - 117390

Published: March 1, 2025

Citations

0
Incorporating machine learning in shot peening and laser peening: A review and beyond DOI
Rui Qin, Zhifen Zhang, James Griffin

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103350 - 103350

Published: April 14, 2025

Language: Английский

Citations

0
Deformable convolutional autoencoder-based feature selection and recognition for acoustic emission monitoring in laser shock peening DOI
Rui Qin, Zhifen Zhang, Jing Huang

et al.

Welding in the World, Journal Year: 2025, Volume and Issue: 69(5), P. 1241 - 1254

Published: March 5, 2025

Language: Английский

Citations

0
MelNet: An End-to-End Adaptive Network with Adjustable Frequency for Preprocessing-Free Broadband Acoustic Emission Signals DOI
Jing Huang, Rui Qin, Zhifen Zhang

et al.

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103229 - 103229

Published: April 1, 2025

Language: Английский

Citations

0
Pipeline leak location method based on SSA-VMD with generalized quadratic cross-correlation DOI

Laihu Peng,

Yongchao Hu, Jianyi Zhang

et al.

Measurement Science and Technology, Journal Year: 2024, Volume and Issue: 35(11), P. 116105 - 116105

Published: July 22, 2024

Abstract Natural gas pipelines are an essential part of the economy. may leak after aging, strong vibration signals be generated in pipeline when leakage occurs, and noisy. Traditional variational mode decomposition (VMD) noise reduction methods need to set parameters advance, so not achieve best effect. To solve this problem, paper proposes a method for location based on sparrow search algorithm (SSA) optimization VMD combined with generalized quadratic cross-correlation. The first calculates original signal-to-noise ratio (SNR), if SNR is low, wavelet threshold denoising used process signal. Then, SSA refine two key (penalty parameter α number K ) sample entropy. Subsequently, signal undergoes into intrinsic function (IMF) components through according obtained analysis combination. IMF screened obtain reconstructed Finally, obtained. delay cross-correlation accurate position using delay. Experiments showed that minimum relative error could reach 0.6%, which was more than traditional method, effectively improved accuracy noisy locations.

Language: Английский

Citations

3