“二次源”法阻抗估值算法和数据处理程序设计

Design on Estimation Algorithm of the Pump Source Impedance and the Signal Processing Software for Secondary Source Method

针对现有'二次源'法在参考管道上传感器距离是压力波波长整数倍时,泵源估值精度较低,且整个数据处理过程繁琐复杂、费力耗时,导致其不适于工业应用的问题,提出泵源阻抗估值算法优化模型,并应用Matlab/GUI模块编写一套'二次源'法数据处理平台软件,在提高泵源流量脉动的测试精度的同时简化'二次源'法数据处理过程。介绍柱塞泵标准'二次源'法的测试原理,对比几种泵源阻抗估值方法的特点,应用Matlab/GUI模块开发优化的'二次源'法数据处理软件,并进行试验验证。结果表明,相比分布参数法,线性衰减技术能够估测全频率处柱塞泵泵源阻抗,估值效率提高了70%;在保证测试精度的情况下,'二次源'法测试软件简化了标准'二次源'法数据处理过程并节省了80%的计算时间,为'二次源'法的工业应用提供技术支撑。

It is a fact for the secondary source method that the pump source impedance can＇t be computed with the current estimation algorithm when the transducer length of the reference pipe is multiple times of the pressure wavelength, and the signal processing is complicated and time consuming, so the secondary source method is inapplicable in industry. For solving the problem, a new estimation algorithm of the pump source is discussed, and a signal processing soRware based on Matlab/GUI for secondary source method is designed. The test principle of the secondary source method is depicted, and then several evaluation methods of source impedance （such as the linear interpolation method, the weighted linear regression technique and the distributed-parameters method） and its application are discussed. With the Matlab/GUI, a signal processing soRware for the secondary source method is developed and then validated with test results. It can be concluded from the test results that compared with the distributed-parameter method, the computing time of the source impedance with the weighted linear regression Technique is reduced 70%. At the same test accuracy, the signal processing of the secondary source method is simplified and the computing time is reduced 80% by the software. Therefore, with the signal processing software, the application of the secondary source method in industry is possible.