信号(编程语言)
频带
能量(信号处理)
光时域反射计
声学
管道(软件)
小波
小波包分解
振动
材料科学
电子工程
电气工程
计算机科学
物理
工程类
光学
小波变换
光纤传感器
光纤
人工智能
渐变折射率纤维
程序设计语言
量子力学
天线(收音机)
作者
Fan Yang,Dongming Li,Li‐Jun Wan,Ranran Ji
摘要
In order to better monitor and identify PCCP pipeline wire broken and obtain wire broken signal characteristics, this paper adopts φ-OTDR system to monitor pipeline wire broken signal and use wavelet packet decomposition to study the energy distribution of wire broken signal in different frequency bands. Firstly, the wire broken signal is collected by φ-OTDR system, and secondly, the wavelet packet decomposition is performed on the wire broken signal collected by the system to obtain the energy distribution of the wire broken vibration signal in different frequency bands. The results show that at 10kHz sampling rate, the frequency band energy (FBE) distribution of the wire broken signal is characterized as follows: the energy of the broken wire signal is higher in the high frequency band (2500-3125Hz, 3437.5-3750Hz, 4375-4687.5Hz) and lower in the low frequency range, and this feature is obvious compared with the non-broken wire case. This method provides a new idea for identifying wire broken events.
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