TY - JOUR
T1 - Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy
AU - Hao, Yongmei
AU - Du, Zhanghao
AU - Jiang, Juncheng
AU - Xing, Zhi Xiang
AU - Yan, Xinming
AU - Wang, Shuli
AU - Rao, Yongchao
N1 - Publisher Copyright:
© 2020 Yongmei Hao et al.
PY - 2020
Y1 - 2020
N2 - Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entropy was proposed. Firstly, the experiment pipeline system was built, and the original signal was collected by acoustic emission technology; then, a variational model method was used to decompose the signal to obtain multiple intrinsic mode function (IMF) components with different characteristic scales. According to the characteristics of relative entropy, each component was analyzed, the appropriate IMF component was selected, and the selected component was reconstructed to obtain the observation signal. The multipoint leakage location model of the urban gas pipeline was established. The number of source signals was estimated by singular value decomposition, and the leakage signals were separated; finally, the accurate location of leakage point was achieved by cross-correlation positioning. The results showed that the average relative error of the pipeline leak location results is 2.97%, and the leak location accuracy is significantly improved, achieving the purpose of precise location.
AB - Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. A multipoint leak detection and location method for urban gas pipelines based on variational mode decomposition and relative entropy was proposed. Firstly, the experiment pipeline system was built, and the original signal was collected by acoustic emission technology; then, a variational model method was used to decompose the signal to obtain multiple intrinsic mode function (IMF) components with different characteristic scales. According to the characteristics of relative entropy, each component was analyzed, the appropriate IMF component was selected, and the selected component was reconstructed to obtain the observation signal. The multipoint leakage location model of the urban gas pipeline was established. The number of source signals was estimated by singular value decomposition, and the leakage signals were separated; finally, the accurate location of leakage point was achieved by cross-correlation positioning. The results showed that the average relative error of the pipeline leak location results is 2.97%, and the leak location accuracy is significantly improved, achieving the purpose of precise location.
UR - http://www.scopus.com/inward/record.url?scp=85099294337&partnerID=8YFLogxK
U2 - 10.1155/2020/8868963
DO - 10.1155/2020/8868963
M3 - 文章
AN - SCOPUS:85099294337
SN - 1070-9622
VL - 2020
JO - Shock and Vibration
JF - Shock and Vibration
M1 - 8868963
ER -