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Application of Wavelet Transform to Detect Leakage for Oil Pipeline

机译:小波变换检测油管道泄漏的应用

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The oil pipeline accident occurs for many reasons. In order to reduce the loss which the accident creates, the leakage should be discovered promptly. This paper introduces the basic theory of applying negative wave to detect the leakage, and analyzes the characteristic of pressure signal singularity and the different characteristics between signals and noises based on their wavelet transforms. Namely the sudden change signal wavelet transformation mold maximum value increases along with the criterion increase, but the noise wavelet transformation mold maximum value decreases along with the criterion increase. Therefore, the leaking point position can be figured out by using the time difference and propagation velocity of the negative pressure wave, which may arrive at the oil pipeline beginnings and ends. The result of the example indicated that, the wavelet method of transformation can accurately withdraw the sudden change value of the transient negative pressure wave, thus the leakage location can be detected.
机译:由于许多原因发生了石油管道事故。为了减少事故创造的损失,应及时发现泄漏。本文介绍了施加负波来检测泄漏的基本理论,并根据其小波变换分析压力信号奇异性的特性和信号和噪声之间的不同特性。即突然变化信号小波变换模具最大值随着标准而增加,但噪声小波变换模具最大值随着标准而增加。因此,可以通过使用负压波的时差和传播速度来设计泄漏点位置,这可能可以到达油管道开始和结束。示例的结果表明,转换的小波方法可以准确地释放瞬态负压波的突然变化值,从而可以检测泄漏位置。

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