Dual-tree complex wavelet transform and SVD based acoustic noise reduction and its application in leak detection for natural gas pipeline
| Autor: | Jingwei Qiu, Hao Jin, Laibin Zhang, Xuchao Yu, Wei Liang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Leak
Engineering Frequency band business.industry 020209 energy Mechanical Engineering Noise reduction Acoustics Aerospace Engineering 02 engineering and technology Acoustic wave 01 natural sciences Computer Science Applications Control and Systems Engineering Natural gas 0103 physical sciences Signal Processing Singular value decomposition 0202 electrical engineering electronic engineering information engineering Complex wavelet transform business 010301 acoustics Civil and Structural Engineering Leakage (electronics) |
| Zdroj: | Mechanical Systems and Signal Processing. :266-285 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2015.10.034 |
| Popis: | During the last decades, leak detection for natural gas pipeline has become one of the paramount concerns of pipeline operators and researchers across the globe. However, acoustic wave method has been proved to be an effective way to identify and localize leakage for gas pipeline. Considering the fact that noises inevitably exist in the acoustic signals collected, noise reduction should be enforced on the signals for subsequent data mining and analysis. Thus, an integrated acoustic noise reduction method based on DTCWT and SVD is proposed in this study. The method is put forward based on the idea that noise reduction strategy should match the characteristics of the noisy signal. According to previous studies, it is known that the energy of acoustic signals collected under leaking condition is mainly concentrated in low-frequency portion (0–100 Hz). And ultralow-frequency component (0–5 Hz), which is taken as the characteristic frequency band in this study, can propagate a relatively longer distance and be captured by sensors. Therefore, in order to filter the noises and to reserve the characteristic frequency band, DTCWT is taken as the core to conduct multilevel decomposition and refining for acoustic signals and SVD is employed to eliminate noises in non-characteristic bands. Both simulation and field experiments show that DTCWT-SVD is an excellent method for acoustic noise reduction. At the end of this study, application in leakage localization shows that it becomes much easier and a little more accurate to estimate the location of leak hole after noise reduction by DTCWT-SVD. |
| Databáze: | OpenAIRE |
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