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In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network
Joint Authors
Hou, Dibo
Kumar, Dileep
Tu, Dezhan
Zhu, Naifu
Zhang, Hongjian
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Traditionally permanent acoustic sensors leak detection techniques have been proven to be very effective in water distribution pipes.
However, these methods need long distance deployment and proper position of sensors and cannot be implemented on underground pipelines.
An inline-inspection acoustic device is developed which consists of acoustic sensors.
The device will travel by the flow of water through the pipes which record all noise events and detect small leaks.
However, it records all the noise events regarding background noises, but the time domain noisy acoustic signal cannot manifest complete features such as the leak flow rate which does not distinguish the leak signal and environmental disturbance.
This paper presents an algorithm structure with the modularity of wavelet and neural network, which combines the capability of wavelet transform analyzing leakage signals and classification capability of artificial neural networks.
This study validates that the time domain is not evident to the complete features regarding noisy leak signals and significance of selection of mother wavelet to extract the noise event features in water distribution pipes.
The simulation consequences have shown that an appropriate mother wavelet has been selected and localized to extract the features of the signal with leak noise and background noise, and by neural network implementation, the method improves the classification performance of extracted features.
American Psychological Association (APA)
Kumar, Dileep& Tu, Dezhan& Zhu, Naifu& Hou, Dibo& Zhang, Hongjian. 2017. In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network. Journal of Sensors،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187115
Modern Language Association (MLA)
Kumar, Dileep…[et al.]. In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network. Journal of Sensors No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1187115
American Medical Association (AMA)
Kumar, Dileep& Tu, Dezhan& Zhu, Naifu& Hou, Dibo& Zhang, Hongjian. In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187115