A novel leak detection and location method for oil pipeline network is proposed.
提出了一种新颖的基于模式识别的输油管网泄漏检测与定位的方法。
In this paper, the negative pressure wave method for pipeline leak detection and location of.
本文研究了负压波法在管道泄漏判断和定位中的应用。
Oil pipeline leak detection and location is an important topic for reducing oil loss and environment protection.
输油管线的泄漏故障诊断对于减少经济损失和环境污染有着很大的意义。
The application concerning water pipeline leak detection and location verifies the validity of this measuring system.
最后通过对自来水管线泄漏的实际测量验证了该系统的有效性。
The method of leak detection and location for pipelines based on instantaneous pressure wave is most widely used in practice.
基于瞬态压力波的泄漏检测和定位方法在实际中得到广泛的应用。
Also, the combination of the two methods is proved theoretically redound to improve the veracity of leak detection and location.
在理论上分析了以上两种方法的结合将有助于提高泄漏检测定位的准确性。
A leak detection and location system for oil pipe based on ADAM5510 is proposed. The system structure, functions and software design are given.
在此基础上设计了一套基于ADAM5510的泄漏检测系统，给出了系统的总体组成结构、各部分功能及软件设计思想。
To solve the leak detection and location problem in pipeline flux, we built neural network model based on the difference of leak wave and normal signal.
为了解决目前管道流量泄漏监测和定位问题，根据管道泄漏应力波和正常信号的区别，建立神经网络模型。
On the basis of detailed analysis of the pipeline fluid dynamics, this paper presents a method of pipeline leak detection and location based on stable model;
本文在详细分析管道流体动力学特性的基础上，提出了一种基于稳态模型的管道泄漏检测与定位方法；
With the problem of noise disturbance in leak detection and location of pipeline, a signal process method based on empirical mode decomposition (EMD) and cross-correlation was presented.
针对长输管道泄漏检测与定位中噪声干扰问题，提出了一种基于EMD分解和相关分析的管道泄漏检测与定位方法。
Pipeline leak detection location system is a typical device for pipeline maintenance, which can efficiently reduce the resource waste and the environment pollution caused by pipeline leak.
管道泄漏检测定位系统是目前管道泄漏检测中的一种典型装置，能有效控制管道泄漏引起的资源浪费和环境污染。
Compared with the traditional detection methods, this method is quicker in leak detection, more accurate in location, higher in sensitivity and more reliable.
与传统的检测方法相比，该方法的泄漏检测速度快，具有较高的定位精度、灵敏度和可靠性。
By actual test data, the leak detection system can rule out the stations affected by changes in working conditions can be accurately presented on the pipeline leak alarm and location information.
通过数据测试，该系统能够有效的排除站内工况调整影响，并能够准确的对管道泄漏给出报警和定位信息。
By actual test data, the leak detection system can rule out the stations affected by changes in working conditions can be accurately presented on the pipeline leak alarm and location information.
通过数据测试，该系统能够有效的排除站内工况调整影响，并能够准确的对管道泄漏给出报警和定位信息。
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