Non-Intrusive Continuous Monitoring of Leaks for an In-Service Penstock DOI Creative Commons

Marius Nati,

Cristina Despina‐Stoian,

Dragoș Nastasiu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5182 - 5182

Published: Aug. 11, 2024

In modern industries, pipelines play a crucial role, both as an essential element in energy transportation (water, gas and electricity) also the distribution of these resources. The large size piping infrastructures, their age unpredictable external factors are main difficulties monitoring system. this context, detection localization leaks challenging but essential, lead to substantial economic losses. Current methods have many limitations, involving invasive procedures, working only with short pipes or requiring system shutdown. This paper presents non-intrusive method based on acoustic signal processing. Leak is performed using matched filters, while phase diagram representation diagram-based entropy computation. Our continuous was used for two months full comparison video inspection-based technique conducted. results indicate that has high accuracy, regardless length pipe.

Language: Английский

Transfer learning to estimate lithium-ion battery state of health with electrochemical impedance spectroscopy DOI

Qingkai Xing,

Ming Zhang, Yaping Fu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 110, P. 115345 - 115345

Published: Jan. 11, 2025

Language: Английский

Citations

7

A Multi-sensor Feature Fusion Attention Convolutional Neural Network for Complex Magnetic Leakage DOI
Xianming Lang, Ze Wang

IEEE Transactions on Instrumentation and Measurement, Journal Year: 2024, Volume and Issue: 73, P. 1 - 9

Published: Jan. 1, 2024

Language: Английский

Citations

6

Optimized PSOMV-VMD combined with ConvFormer model: A novel gas pipeline leakage detection method based on low sensitivity acoustic signals DOI
Kaiyuan Li, Wei Chen, Yuhang Zou

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116804 - 116804

Published: Jan. 1, 2025

Language: Английский

Citations

0

Pipeline leak detection through implementation of empirical mode decomposition and cluster analysis DOI
Amjad Ali, Xinhua Wang, Izzat Razzaq

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116873 - 116873

Published: Jan. 1, 2025

Language: Английский

Citations

0

Leakage Fault Diagnosis of Oil and Gas Pipelines Based on Improved Spiking Residual Network DOI
Dongmei Wang, Dan Zhang, Yang Wu

et al.

Flow Measurement and Instrumentation, Journal Year: 2025, Volume and Issue: unknown, P. 102865 - 102865

Published: Feb. 1, 2025

Language: Английский

Citations

0

Characterization of the pressure, temperature and phase evolution during pipeline leakage in full-size ethane high-pressure gas pipeline DOI Creative Commons
Jianbo Ma, Zihao Xiu, Zhenyi Liu

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 106020 - 106020

Published: March 1, 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

Intelligent Identification of Internal Leakage in Natural Gas Pipeline Control Valves Based on Mamba-ARN DOI
Wei Li,

Shuxun Li,

Jianjun Hou

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 107113 - 107113

Published: April 1, 2025

Language: Английский

Citations

0

VMD-based theoretical calculation of the acoustic attenuation coefficient and pipeline leak localization DOI
Zhou Hong, Dan Zhao, Liqiang Dong

et al.

Applied Acoustics, Journal Year: 2025, Volume and Issue: 236, P. 110743 - 110743

Published: April 21, 2025

Language: Английский

Citations

0

Improvement of pipeline leak detection method: Integration of spectral entropy and sample entropy for better description of complexity features DOI
Zhou Hong, Tangqi Lv, Dan Zhao

et al.

Applied Acoustics, Journal Year: 2024, Volume and Issue: 231, P. 110458 - 110458

Published: Dec. 10, 2024

Language: Английский

Citations

1