首页> 外文会议>International Conference on Electronic Measurement amp; Instruments(ICEMI'2005) vol.6; 20050816-18; Beijing(CN) >Application Of Wavelet Decomposition In Distributed Optic Fiber Temperature Sensing System
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Application Of Wavelet Decomposition In Distributed Optic Fiber Temperature Sensing System

机译:小波分解在分布式光纤温度传感系统中的应用

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In the distributed optic fiber temperature sensing system, useful signals are quite weak, and they will be completely submerged in noises. In traditional signal processing system, signals will be averaged and accumulated time after time. Although this method is more effective, numerous accumulations make the period of temperature measurement longer. In this paper, we present a method that combine wavelet decomposition and cumulative mean in signal processing. Based on the experiment and result, it can be approved that higher accurate value of temperature can be got by shorter accumulation times, under the premise that spatial resolution is guaranteed. Under the premise that temperature accuracy is guaranteed, the respond speed of the system is increased. The response time is shorter and the real-time capability is enhanced.
机译:在分布式光纤温度感测系统中,有用的信号非常微弱,它们会完全淹没在噪声中。在传统的信号处理系统中,信号将被平均并不断累积。尽管这种方法更有效,但大量的累积使温度测量的时间更长。在本文中,我们提出了一种在信号处理中结合小波分解和累积均值的方法。根据实验和结果,可以证明在保证空间分辨率的前提下,可以通过较短的累积时间获得较高的温度精确值。在保证温度精度的前提下,提高了系统的响应速度。响应时间更短,实时能力得到增强。

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