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AUTOMATIC, NON-INTRUSIVE, FLAME DETECTION IN PIPELINES

机译:管道中的自动,非侵入性,火焰检测

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摘要

Many methods of flame detection are available. Unfortunately, few offer remote, non-line-of-sight, detection. In cases where flammable mixtures are transported within tubing (such as flare lines, storage tank vents, air drilling, and improperly designed purging operations) there is often no means by which combustion can be detected. This is a significant deficiency in some applications. If the mixture were to ignite, the results could be catastrophic. To address this problem, combustion noise is being investigated at the University of Calgary as a possible means of detecting flames within tubing. An experimental study has been completed that shows that combustion noise can be distinguished from other sources of noise by its inverse power law relationship with frequency. A robust algorithm has been developed that, when combined with high-speed pressure measurements, provides early detection of flames. When combined with other filters, the algorithm can automatically separate combustion noise from other sources of noise. In this paper, a stop band filter was used to remove the noise created by a fluttering check valve.
机译:可以使用许多火焰检测方法。不幸的是,很少有遥控器,非关象式,检测。在易燃混合物在管道内(例如喇叭口线,储罐通风口,空气钻孔和不正确的吹扫操作)的情况下,通常不能通过可以检测到燃烧的方法。这是一些应用中的显着缺陷。如果混合物染色,则结果可能是灾难性的。为了解决这个问题,在卡尔加里大学正在研究燃烧噪声作为检测管内的火焰的可能性。完成了实验研究,表明燃烧噪声可以通过其与频率的反向动力法与其他噪声来源区分。已经开发出一种强大的算法,当与高速压力测量结合时,提供了早期的火焰检测。与其他滤波器组合时,该算法可以自动将燃烧噪声与其他噪声源分开。在本文中,使用止动带滤波器去除由振动止回阀产生的噪声。

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