Improving the shape of the cross-correlation function for leak detection in a plastic water distribution pipe using acoustic signals
| Autor: | Yan Gao, Yuyou Liu, Phillip Joseph, F.C.L. Almeida, Michael J. Brennan |
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| Přispěvatelé: | Chinese Academy of Sciences, Universidade Estadual Paulista (Unesp), Beijing Municipal Institute of Labour Protection, AECOM Infrastructure & Environment UK Limited, University of Southampton |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Signal processing
Engineering Frequency response Leak Acoustics and Ultrasonics Cross-correlation Hydrophone business.industry Acoustics Bandwidth (signal processing) Leak detection Spectral density 02 engineering and technology Time delay estimation 021001 nanoscience & nanotechnology 01 natural sciences Resonance Resonator 0103 physical sciences Cross-correlation function Electronic engineering 0210 nano-technology business Water pipe 010301 acoustics |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| Popis: | Made available in DSpace on 2018-12-11T17:12:24Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-01 Chinese Academy of Sciences Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) National Research Council Canada This paper is concerned with time delay estimation for the detection of leaks in buried plastic water pipes using the cross-correlation of leak noise signals. In some circumstances the bandwidth of over which the signal analysis can be conducted is severely restricted because of resonances in the pipe system, which manifest themselves as peaks in the modulus of the power spectral and cross spectral densities, and deviations from straight-line behaviour in the phase of the cross spectral density. The result can be a cross-correlation function in which it is difficult to estimate the time delay accurately. This paper describes a procedure in which the shape of the cross-correlation function can be significantly improved, resulting in an unambiguous and clear estimate of the time delay. The frequency response function(s) of the resonator(s) responsible for the resonance effects are first determined and then the data is processed using the model(s) of the resonators to remove these effects. This enables more signal processing to be conducted, potentially over a much wider bandwidth, further improving the shape of the cross-correlation function. The process is illustrated in this paper using hydrophone measured data at a leak detection facility. The current limitation in the process is that it is carried out manually, which could potentially restrict its application in practical acoustic correlators. The challenge now is to develop an algorithm to carry out the procedure automatically. Key Laboratory of Noise and Vibration Research Institute of Acoustics Chinese Academy of Sciences Department of Mechanical Eng. State University of São Paulo (UNESP), Ilha Solteira Campus, Av. Brasil Centro, 56 Beijing Municipal Institute of Labour Protection AECOM Infrastructure & Environment UK Limited Department of Biosystem Eng. State University of São Paulo (UNESP), Tupã Campus, Av. Rua Domingos da Costa Lopes, Jardim Itaipu, 780 Institute of Sound and Vibration Research University of Southampton Department of Mechanical Eng. State University of São Paulo (UNESP), Ilha Solteira Campus, Av. Brasil Centro, 56 Department of Biosystem Eng. State University of São Paulo (UNESP), Tupã Campus, Av. Rua Domingos da Costa Lopes, Jardim Itaipu, 780 |
| Databáze: | OpenAIRE |
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