首页> 外文会议>2011 International Conference on Computational and Information Sciences >Application of Wavelet Transform to Detect Leakage for Oil Pipeline
【24h】

Application of Wavelet Transform to Detect Leakage for Oil Pipeline

机译:小波变换在输油管道泄漏检测中的应用

获取原文

摘要

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:发生石油管道事故的原因很多。为了减少事故造成的损失,应及时发现泄漏。本文介绍了应用负波检测泄漏的基本理论,并基于其小波变换分析了压力信号奇异性的特征以及信号与噪声之间的差异。即,突变信号小波变换模型最大值随着准则的增加而增加,而噪声小波变换模型最大值随着准则的增加而降低。因此,可以利用负压波的时间差和传播速度来计算出泄漏点的位置,该负压波可能到达输油管道的起点和终点。实例结果表明,小波变换可以准确地提取瞬态负压波的突变值,从而可以检测出泄漏位置。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号