Article
Engineering, Multidisciplinary
Jingpin Jiao, Jiawei Zhang, Yubao Ren, Guanghai Li, Bin Wu, Cunfu He
Summary: In this paper, acoustic emission signals are analyzed using a sparse representation method to extract the main components associated with pipeline leaks. Dictionary learning is performed to estimate the main leakage components, and cross-correlation analysis is used to determine the leak location. Experimental results demonstrate that the proposed method effectively improves the signal-to-noise ratio and enhances the accuracy and reliability of pipeline leak location.
Article
Engineering, Multidisciplinary
Hongjin Liu, Hongyuan Fang, Xiang Yu, Fuming Wang, Xuan Yang, Shaohui Li
Summary: Leak location studies of water supply pipes are crucial for reducing water waste and eliminating potential hazards. In this paper, an adaptive time-delay estimation method (CEENDAN-CC) is proposed, which can extract feeble leakage signals and improve the accuracy and noise immunity of time-delay estimation.
Article
Engineering, Electrical & Electronic
Lin Mei, Shuaiyong Li, Chao Zhang, Mingxiu Han
Summary: An adaptive signal enhancement method based on genetic algorithm optimized VMD and SVD is proposed in this study to address the low SNR issue in leak location in water-supply pipelines. Experimental results demonstrate that the proposed method is effective in reducing leak location errors.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Civil
Hongjin Liu, Hongyuan Fang, Xiang Yu, Fuming Wang, Yangyang Xia
Summary: This study proposes an empirical mode decomposition and cross-correlation (EMDCC) method for water pipeline leak localization, which adaptively extracts effective leak signals from low signal-to-noise ratio (SNR) detection signals, and significantly improves the accuracy of localization.
Article
Engineering, Multidisciplinary
Qiansheng Fang, Haojie Wang, Chenlei Xie, Jie Chen
Summary: This paper proposes a leak location method for water supply pipelines based on a multivariate variational mode decomposition algorithm, which can locate the leakage point more accurately with an average relative positioning error of less than 2.2%.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Xuguang Hu, Huaguang Zhang, Dazhong Ma, Rui Wang, Tianbiao Wang, Xiangpeng Xie
Summary: Traditional leak location methods often yield inaccurate results due to the uncertainty of pressure change points. This article proposes an adaptive dynamic programming approach to address this issue. By introducing a pipeline model, a value iteration scheme, and neural networks, the proposed method provides real-time leak location for long-distance pipelines.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Xuguang Hu, Huaguang Zhang, Dazhong Ma, Rui Wang, Pengfei Tu
Summary: In this article, a data-driven method for small leak location is proposed, which accurately locates the leak point through the construction of a pipeline model and heuristic dynamic programming method, and demonstrates satisfactory performance in field tests.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Marine
Nahid Nadimi, Reza Javidan, Kamran Layeghi
Summary: A new method for gas leak detection based on gas bubble acoustic scattering modeling using Synthetic Aperture Sonar (SAS) technology is proposed in this paper. The method utilizes coherent processing in SAS range migration to distinguish leak signals from background noise, and has shown to effectively improve pipeline leak detection operations even in a single pass.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Geochemistry & Geophysics
Abdulrahman Aljurbua, Kamal Sarabandi
Summary: This article introduces a method for detecting and localizing oil pipeline leaks using 3-D subsurface multistatic imaging radar. By identifying and eliminating signals from the pipeline, the detectability of leaks is improved. Simulation and measurement results demonstrate the effectiveness of the proposed approach in detecting and localizing pipeline leaks.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Thermodynamics
Peifeng Lin, Donghui Lei, Jiang Liao
Summary: In this study, experimental and numerical methods are employed to locate pipeline leakage, with particular consideration to the influence of curvature radius on the accuracy of leak location. Results show that smaller curvature radius leads to lower accuracy, while larger curvature radius or increased inlet pressure improves accuracy. It is found that the elbow with a curvature radius three to four times of pipe diameter provides the most accurate measurement of leakage location.
ADVANCES IN MECHANICAL ENGINEERING
(2021)
Article
Engineering, Mechanical
Boxiang Liu, Zhu Jiang, Wei Nie
Summary: The study introduced an adaptive noise reduction method based on VMD, which gradually achieved denoising, extraction of effective signals, and reconstruction to enhance the accuracy of leak location.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2021)
Proceedings Paper
Engineering, Manufacturing
Weijie Tang, Rongfeng Deng, Baoshan Huang, Fengshou Gu, Andrew D. Ball
Summary: This paper presents an intelligent mobile robot that effectively monitors large-scale pipeline systems by analyzing the sound signals to detect leaks and pinpoint their locations.
PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Md Toufikul Islam, Semih Aslan
Summary: This paper introduces a sensor network design method that uses pressure sensors to measure water pressure inside a pipe, highlighting the promising future of wireless sensor networks in water, oil, and gas pipeline leak detection applications. It demonstrates acceptable accuracy in predicting a leak and its location, as well as advising on the acceptable distance between pressure sensors in a pipeline.
2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
(2021)
Article
Mathematics, Interdisciplinary Applications
G. Kurbatova, E. M. Vinogradova, V. A. Klemeshev
Summary: This paper proposes an approach to simplify the calculation of gas flow characteristics in a pipeline. It uses an isothermal model to calculate pressure and solves the temperature analysis with a cubic equation. The study compares the calculations from general and simplified models and establishes a criterion to determine when the simplified approach is appropriate. Using a practical example, it demonstrates the high accuracy of the proposed approach in calculating pressure, temperature, and gas leak coordinates in the pipeline.
VESTNIK SANKT-PETERBURGSKOGO UNIVERSITETA SERIYA 10 PRIKLADNAYA MATEMATIKA INFORMATIKA PROTSESSY UPRAVLENIYA
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Ningyuan Xu, Wenping Jiang, Zhujia Zhang
Summary: With the continuous promotion of urbanization, people have higher expectations for the reliability and safety of municipal water supply pipeline networks. This paper proposes a negative pressure wave localization algorithm based on real-time flow and pressure data to improve the accuracy of leak location while accommodating the complex operating conditions of municipal water supply pipelines. Real-time flow data helps differentiate between leak occurrences and operational condition adjustment events, and considering flow information in leak location calculations can result in fewer false alarms. The wave velocity correction coefficient, calculated from real-time pressure data, significantly increases the positioning accuracy of the negative pressure wave positioning algorithm.
2023 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE, PHM
(2023)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
