Method for acoustic leak detection of fast reactor steam generator using maximum modulus based on wavelet transform

Liu, Zhanhui; Xiao-dong, Niu; Mu, Guang-Yu; Wang, Xin; Zhang, Hong; Pang, Yunjie

doi:10.1109/icmlc.2005.1527041

Cited by 1 publication

(2 citation statements)

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“…The results depend mostly on the experience of the user. Later, many studies used a computer to analyze the spectral features of an acoustic sound to discover leaks (Zhan-Hui et al, 2005;Jin et al, 2008;Liu and Zhao, 2008). The detection method in these studies generally includes two stages: extracting signal features and recognizing the signal base on extracted features.…”

Section: Leak Detection Procedures With Signal Transformmentioning

confidence: 99%

“…The model can be a predetermine as maximum modulus (Zhan-Hui et al, 2005), Hidden Markov Machine (HMM) (Changsheng et al, 2006), or base on training values in a support vector machine (Liu and Zhao, 2008;Huali et al, 2004), or Neural network (Jiao et al, 2006). These methods have trade-offs between complexity and accuracy.…”

Section: Leak Detection Procedures With Signal Transformmentioning

confidence: 99%

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Wireless transmission of acoustic emission signals for real-time monitoring of leakage in underground pipes

et al. 2011

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In this paper, we propose a system combining various methods for monitoring leakage of underground pipelines. The system uses a wireless connection for communications and uses acoustic emission effects to detect and locate leakages. The system is easily deployed, with a flexible configuration that requires less maintenance because a wireless connection is used. Moreover, the system is accurate, simple, and inexpensive, because it is based on acoustic emissions. Experiments determining the wireless connectivity of the proposed system are also presented.

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Section: Leak Detection Procedures With Signal Transformmentioning

confidence: 99%

Section: Leak Detection Procedures With Signal Transformmentioning

confidence: 99%