The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology
Abstract
Abstract Pipeline is an important structure to transport oil and gas through long distances. However, pipeline also suffers from many threats especially corrosion and leakage. Therefore, it is necessary to conduct pipeline safety monitoring. With the advantage of high precision in distributed strain measurement, the optical frequency domain reflectometry (OFDR) technique is more suitable for pipeline monitoring. In this paper, a new application of the OFDR technique is introduced to monitor both corrosion and leakage. In order to verify this method, simulation tests of corrosion and leakage were conducted. In the corrosion test, several optical fiber sensors were bonded to the pipe surface with the same interval, forming a sensor array. Based on the sensor array, a hoop strain nephogram was created to show the corrosion level and corrosion location. In the leakage test, the results indicated that pipeline leakage can be detected by the distributed optical fiber sensor (DOFS). All the test results demonstrate that it is possible to monitor pipeline corrosion and leakage based on the hoop strain theory and the DOFS.
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Citations
Cites
Recent Progress in Distributed Fiber Optic Sensors
Bao, X., & Chen, L. (2012) · Sensors · doi:10.3390/s120708601 · Cited by 1,292
High-spatial-resolution distributed strain measurement in optical fiber with Rayleigh scatter
Froggatt, M., & Moore, J. (1998) · Applied Optics · doi:10.1364/ao.37.001735 · Cited by 788
A SVM-based pipeline leakage detection and pre-warning system
Qu, Z., Feng, H., Zeng, Z., Zhuge, J., & Jin, S. (2009) · Measurement · doi:10.1016/j.measurement.2009.12.022 · Cited by 186
Kalman Filtering of Hydraulic Measurements for Burst Detection in Water Distribution Systems
Ye, G., & Fenner, R. A. (2010) · Journal of Pipeline Systems Engineering and Practice · doi:10.1061/(asce)ps.1949-1204.0000070 · Cited by 158
Crack detection and leakage monitoring on reinforced concrete pipe
Feng, Q., Kong, Q., Huo, L., & Song, G. (2015) · Smart Materials and Structures · doi:10.1088/0964-1726/24/11/115020 · Cited by 130
Leak Detection, Size Estimation and Localization in Pipe Flows
Aamo, O. M. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2434031 · Cited by 115
Damage Identification on the Tilff Bridge by Vibration Monitoring Using Optical Fiber Strain Sensors
Reynders, E. P. B., Roeck, G. D., Bakır, P. G., & Sauvage, C. (2007) · Journal of Engineering Mechanics · doi:10.1061/(asce)0733-9399(2007)133:2(185 · Cited by 109
Robustness study of the pounding tuned mass damper for vibration control of subsea jumpers
Li, H., Zhang, P., Song, G., Patil, D., & Mo, Y. L. (2015) · Smart Materials and Structures · doi:10.1088/0964-1726/24/9/095001 · Cited by 93
Self-citationDistributed Optical Fibre Sensors and their Applications in Pipeline Monitoring
Rajeev, P., Kodikara, J. K., Chiu, W. K., et al. (2013) · Key engineering materials · doi:10.4028/www.scientific.net/kem.558.424 · Cited by 93
Leak location of pipelines based on transient model and PSO-SVM
Ni, L., Jiang, J., & Pan, Y. L. (2013) · Journal of Loss Prevention in the Process Industries · doi:10.1016/j.jlp.2013.04.004 · Cited by 66
Cited by
Optical Fiber Sensors and Sensing Networks: Overview of the Main Principles and Applications
Pendão, C., & Silva, I. (2022) · Sensors · doi:10.3390/s22197554 · Cited by 305
Metadata
- Authors
- Ren, L., Jiang, T., Jia, Z.-G., Li, D.-S., Yuan, C.-L., & Li, H.-N.
- Venue
- Measurement
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 122
- Pages
- 57-65
- ISSN
- 0263-2241 (ISSN-L)
- OpenAlex
- W2790869700
- Cited by
- 312
- References
- 11
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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