Abstract
Considering the problems that large number of acoustic sampling data and the multiple leaks localization errors are largre, multiple leaks localization method based on compressed sensing and time-frequency analysis is presented. In this scheme, the wavelet analysis is denosied acoustic signal collected at the ends of pipeline, and then CS is used to reconstruct the denoised signal accurately to reduce the amount of collected acoustic signal. Then, the cross-correlation function of multiple leaks is analyzed with the smooth Affine-Wigner distribution. The multiple peak time is extracted simultaneously, and the multiple peak time is the time delay. The multiple leaks positions can be estimated by the multiple time delay and the distance between upstream acoustic sensor and downstream acoustic sensor. Field experiment results that the proposed method can accurately locate the multiple leaks.
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Acknowledgment
This work was supported in part by the National Natural Science Foundation of China under Grant 61673199, the Natural Science Foundation of Liaoning Province under Grant 2019-BS-158, the Scientific Research Funds of Liaoning Provincial Department of Education under Grant L2020017, in part by Funded by China Postdoctoral Science Foundation under Grant 2020M670796, and the Supported by Talent Scientific Research Fund of LSHU (No. 2019XJJL-008) of Liaoning Shihua University.
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Lang, X., Cao, J., Li, P. (2020). Localization Method of Multiple Leaks in Fluid Pipeline Based on Compressed Sensing and Time-Frequency Analysis. In: Qian, J., Liu, H., Cao, J., Zhou, D. (eds) Robotics and Rehabilitation Intelligence. ICRRI 2020. Communications in Computer and Information Science, vol 1336. Springer, Singapore. https://doi.org/10.1007/978-981-33-4932-2_18
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DOI: https://doi.org/10.1007/978-981-33-4932-2_18
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