Condition Classification of Water-Filled Underground Siphon Using Acoustic Sensors
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Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650000, China
2
Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming 650500, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(1), 186; https://doi.org/10.3390/s20010186
Received: 22 November 2019
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Revised: 18 December 2019
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Accepted: 24 December 2019
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Published: 28 December 2019
(This article belongs to the Section Physical Sensors)
Siphons have been widely used in water supply systems and sewage networks. However, it is difficult to implement non-destructive testing due to structural complexity and limited accessibility. In this paper, a novel condition classification method for water-filled underground siphons is proposed, which uses the acoustic signals received from acoustic sensors installed in the siphon. The proposed method has the advantages of simpler operation, lower cost, and higher detection efficiency. The acoustic wave forms in the siphons reflect on the system characteristics. Seven typical conditions of a water-filled underground siphon were investigated, and a series of experiments were conducted. Acoustic signals were recorded and transformed into acoustic pressure responses for further analysis. The variational mode decomposition (VMD) and the acoustic energy flow density were used for signal processing and feature extraction. The acoustic energy flux density eigenvectors were input to three different classifiers to classify the siphon conditions. The results demonstrate that the proposed acoustic-based approach can effectively classify the blockage and damage conditions of siphons, and the recognition accuracy of the proposed method is higher than 94.4%. Therefore, this research has value for engineering applications.
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Keywords:
water-filled underground siphons; acoustic sensors; condition classification; VMD; density of sound energy
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MDPI and ACS Style
Zhu, X.; Huang, G.; Feng, Z.; Wu, J. Condition Classification of Water-Filled Underground Siphon Using Acoustic Sensors. Sensors 2020, 20, 186. https://doi.org/10.3390/s20010186
AMA Style
Zhu X, Huang G, Feng Z, Wu J. Condition Classification of Water-Filled Underground Siphon Using Acoustic Sensors. Sensors. 2020; 20(1):186. https://doi.org/10.3390/s20010186
Chicago/Turabian StyleZhu, Xuefeng, Guoyong Huang, Zao Feng, and Jiande Wu. 2020. "Condition Classification of Water-Filled Underground Siphon Using Acoustic Sensors" Sensors 20, no. 1: 186. https://doi.org/10.3390/s20010186
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