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Smart Structures and Systems Volume 16, Number 1, July 2015 , pages 213-222 DOI: https://doi.org/10.12989/sss.2015.16.1.213 |
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An improved cross-correlation method based on wavelet transform and energy feature extraction for pipeline leak detection |
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Suzhen Li, Xinxin Wang and Ming Zhao
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| Abstract | ||
| Early detection and precise location of leakage is of great importance for life-cycle maintenance and management of municipal pipeline system. In the past few years, acoustic emission (AE) techniques have demonstrated to be an excellent tool for on-line leakage detection. Regarding the multi-mode and frequency dispersion characteristics of AE signals propagating along a pipeline, the direct cross-correlation technique that assumes the constant AE propagation velocity does not perform well in practice for acoustic leak location. This paper presents an improved cross-correlation method based on wavelet transform, with due consideration of the frequency dispersion characteristics of AE wave and the contribution of different mode. Laboratory experiments conducted to simulate pipeline gas leakage and investigate the frequency spectrum signatures of AE leak signals. By comparing with the other methods for leak location identification, the feasibility and superiority of the proposed method are verified. | ||
| Key Words | ||
| acoustic emission; pipeline leak detection; cross-correlation analysis; wavelet transform; energy feature | ||
| Address | ||
| Suzhen Li: Department of Structural Engineering, Tongji University, Siping 1239, Shanghai 200092, China; State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Siping 1239, Shanghai 200092, China Xinxin Wang and Ming Zhao: Department of Structural Engineering, Tongji University, Siping 1239, Shanghai 200092, China | ||