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Application Research of the Correlation Detection in Ship Pipeline Leakage Detecting

机译:船舶管道泄漏检测相关检测的应用研究

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Monitoring of ship pipeline leakage detecting is one of the most important techniques to be developed as it can help to prevent damages of ship working safe. In this paper, wavelet transform is used as a tool, to characterize the real time pipeline flow signal during ship working. Firstly, we use the Mallat algorithms to get the standard wavelet transform result from the pipeline flow signal. During the detection period, we get the real time wavelet transform result on certain level through the real time wavelet algorithms. The real time wavelet results of both sides were examined by the correlation to its normal result. According to the magnitude of the correlation factors, we can make sure whether the normally. The results of simulation show that the selected monitoring indices from the wavelet coefficients are capable of detecting in the ship pipeline leakage effectively.
机译:监测船舶管道泄漏检测是最重要的技术之一,因为它有助于防止船舶工作安全的损坏。在本文中,小波变换用作工具,以在船舶工作期间表征实时流水线流量信号。首先,我们使用Mallat算法来获得来自流水流信号的标准小波变换结果。在检测期间,通过实时小波算法,我们获得实时小波变换导致某些级别。通过与其正常结果的相关性检查两侧的实时小波效果。根据相关因素的大小,我们可以确保是否正常。仿真结果表明,来自小波系数的所选择的监测指标能够有效地检测船舶管道泄漏。

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