Gas Science and Engineering, Journal Year: 2023, Volume and Issue: 122, P. 205187 - 205187
Published: Dec. 9, 2023
Language: Английский
Processes, Journal Year: 2024, Volume and Issue: 12(8), P. 1590 - 1590
Published: July 29, 2024
Pipeline leakage seriously threatens the efficient and safe gas drainage in coal mines. To achieve accurate detection localization of pipeline leakages, this study proposes a approach based on pressure gradient method. Firstly, basic law flow was analyzed, network resistance correction formula deduced Then, model established realizable k-ε turbulence model, velocity distribution during under different degrees, locations, negative pressures were simulated thus verifying feasibility It is concluded that positioning errors points positions, 0.88~1.08%, 0.88~1.49%, 0.68~0.88%, respectively. Finally, field tests conducted highly located roadway 8421 Fifth Mine Yangquan Coal Industry Group to verify accuracy proposed method, relative error about 8.2%. The results show with increased hole diameters, elevated pressures, closer positions center, smaller, higher, stability greater. research could lay foundation for fault diagnosis mine networks provide technical support drainage.
Language: Английский
Citations
3
Journal of Energy and Natural Resources, Journal Year: 2024, Volume and Issue: 13(2), P. 81 - 89
Published: June 13, 2024
Pipeline leak monitoring is an important industrial safety measure designed to ensure the of liquids or gases during transportation. Distributed acoustic sensing (DAS) technology based on reverse Rayleigh scattering inside fiber reflect change measured physical quantity, and has great advantages in range, environmental adaptability, transmission loss control system stability. In this paper, pipeline leakage distributed used study signal small aperture. order improve sensitivity monitoring, optical spiral wound pipe section. The identification method fast Fourier transform proposed. By analyzing vibration time domain frequency domain, can be accurately monitored. tests with different apertures were carried out, locations studied by energy attenuation cross-correlation techniques. experimental results show that time-domain fluctuates obviously full-band frequency-domain increases after leakage. increase diameter will gradually energy, move from high low frequency. positioning technique locate within range a single unit, determine location through analysis error less than 3 m.
Language: Английский
Citations
2
Modelling—International Open Access Journal of Modelling in Engineering Science, Journal Year: 2024, Volume and Issue: 5(3), P. 1135 - 1157
Published: Sept. 2, 2024
A This paper proposes a modified real-time transient modelling (MRTTM) framework to address the critical challenge of leak detection and localization in pipeline transmission systems. Pipelines are essential infrastructure for transporting liquids gases, but they susceptible leaks, with severe environmental economic impacts. MRTTM tackles this three-stage operational process. First, “Data Collection” gathers sensor data from designated observation points. Second, “Detection” stage identifies leaks. Finally, “Decision-Making” utilizes pinpoint exact magnitude location. introduces an innovative method designed significantly enhance through application artificial intelligence advanced signal processing techniques. The improved integrates AI pattern recognition, state space segment identification, extended Kalman filter (EKF) precise location estimation, addressing limitations traditional methods. showcases case study using K-nearest neighbors (KNN) on water detection. KNN aids classifying patterns identifying most likely Additionally, incorporates EKF, enabling updates during events faster identification. Preprocessing before comparison leakage bank (LPB) minimizes false alarms enhances reliability. Overall, AI-powered offers powerful solution swift functionality is examined, results effectively approve effectiveness methodology. experimental validate practical utility real-world applications, demonstrating up 90% accuracy F1 score 0.92.
Language: Английский
Citations
2
Measurement, Journal Year: 2024, Volume and Issue: unknown, P. 116013 - 116013
Published: Oct. 1, 2024
Language: Английский
Citations
2
Gas Science and Engineering, Journal Year: 2023, Volume and Issue: 122, P. 205187 - 205187
Published: Dec. 9, 2023
Language: Английский
Citations
6