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Leak Detection in Medium Density Polyethylene (MDPE) Pipe Using Pressure Transient Method

机译:压力瞬变法检测中密度聚乙烯(MDPE)管中的泄漏

摘要

Water is an essential part of commodity for a daily life usage for an average person, from personal uses such as residential or commercial consumers to industries utilisation. Even though precaution steps have been taken, there is still having technical faulty like leaks during their transmission upon reaching the users. Ensemble Empirical Mode Decomposition Method (EEMD) with signal masking is one of the methods that implemented in this experiment by using Medium Density Polyethylene (MOPE) to analyze the position of the leakage in the pipeline. Water hammering system which the water would be abruptly shut off and that would induce an impulse throughout the pipeline, with that in turn would cause the system into a surge of water wave. The data analysis of the pressure signal that then to be decomposed into a series of wave composition with the use of EEMD signal masking method by using the matrix laboratory (MATLAB) software. The series of decomposition of signals is thenudcarefully selected on where the supposed reflected intrinsic mode function (IMF). These IMFs that where being displayed by using a mathematical algorithm, that is known as hilbert transform (HT) spectrum. With this, the IMF signal was analyzed, and the difference of the time would be obtained and calculated. Finally, the analyzed data could be compared with the actual measurement of the leakage in term of percentage ofuderrors.
机译:从普通用途(例如住宅或商业用户的个人用途到工业利用),水是普通人日常生活中商品必不可少的一部分。即使已经采取了预防措施,但仍然存在技术上的缺陷,例如在到达用户后的传输过程中出现泄漏。具有信号屏蔽功能的集成经验模式分解方法(EEMD)是本实验中使用中密度聚乙烯(MOPE)分析管道中泄漏位置的方法之一。水锤系统会突然关闭水,这会在整个管道中引起脉冲,从而使系统变成水浪涌动。然后,通过使用矩阵实验室(MATLAB)软件使用EEMD信号屏蔽方法,对压力信号进行数据分析,然后分解为一系列波形。然后,在假定的反射本征模函数(IMF)的位置上 ud仔细选择信号的分解序列。这些IMF通过使用数学算法进行显示,即希尔伯特变换(HT)频谱。这样,对IMF信号进行了分析,并且将获得并计算时间差。最后,可以将分析的数据与泄漏的实际测量值(以错误百分比表示)进行比较。

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