Tao Jiang
Shantou University
13 Papers
Tao Jiang is an academic researcher from Shantou University. The author has contributed to research in topics: Pipeline (computing) & Corrosion monitoring. The author has an hindex of 8, co-authored 12 publications. Previous affiliations of Tao Jiang include Dalian University of Technology.
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Papers
Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology
TL;DR: In this paper, a new application of optical frequency domain reflectometry (OFDR) technique is introduced to monitor both corrosion and leakage, and simulation tests are conducted to verify this method, where several optical fiber sensors were bonded to the pipe surface with the same interval, forming a sensor array.
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A smart “shear sensing” bolt based on FBG sensors
TL;DR: In this paper, the authors developed a new type of smart bolt that can simultaneously measure the axial and shear forces through the use of embedded fiber Bragg gratings (FBG) sensors.
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Application of FBG Based Sensor in Pipeline Safety Monitoring
TL;DR: In this article, a fiber Bragg grating (FBG) strain hoop sensor was proposed to detect pipeline leakage and corrosion simultaneously based on hoop strain measurement, which is an effective indicator to reflect the inner pressure fluctuation and the wall thickness reduction of the pipeline.
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Pipeline internal corrosion monitoring based on distributed strain measurement technique
TL;DR: Based on the optical frequency domain reflectometry technology, which features distributed strain measurement with high resolution and high precision, a new method of pipeline internal corrosion monitoring is proposed to simultaneously locate corrosion and to evaluate corrosion severity as discussed by the authors.
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Pipeline leakage identification and localization based on the fiber Bragg grating hoop strain measurements and particle swarm optimization and support vector machine
TL;DR: A support vector machine (SVM) learning method is applied to identify pipeline leakage accidents from different hoop strain signals and then further locate the leakage points along a pipeline.
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