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PROJECTIVE NOISE REDUCTION ALGORITHM FOR NEGATIVE PRESSURE WAVE SIGNAL PROCESSING

机译:负压波信号处理的投影降噪算法

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The appearance of a rupture, leak or damage in the long-distance oil & gas pipeline, which could cause a leak, usually generates a non-linear & chaotic negative pressure wave signal. By properly interpreting the negative pressure wave signature, it is possible to detect a leak along the pipeline. Most traditional noise reduction methods are established based on the linear system, which are not in line with the actual non-linear & chaotic situation. Therefore, the weak negative pressure wave signals, generated by small leaks, are often filtered out and cause false alarm and failure alarm. In order to resolve the problem, this paper uses the non-linear projective algorithm for noise reduction. First, the weak negative pressure wave signal series would be reconstructed using delay coordinates, in the high dimensional phase space, the background signal, the negative pressure wave signal and the noise signal are separated into different sub-spaces. Through the reconstruction of sub-spaces, the weak pressure wave signal can be isolated from the background signal as well as the random noise component reduced.
机译:在长距离油气管道中发生破裂,泄漏或损坏的外观,这可能导致泄漏,通常产生非线性和混沌负压波信号。通过适当地解释负压波签名,可以沿管道检测泄漏。大多数传统的降噪方法是基于线性系统建立的,这些方法不符合实际的非线性和混沌情况。因此,通过小泄漏产生的弱负压波信号通常会过滤出并导致错误报警和故障报警。为了解决问题,本文采用非线性投射算法进行降噪。首先,将使用延迟坐标,在高尺寸相空间,背景信号,负压波信号和噪声信号分离到不同的子空间中来重建弱负压波信号序列。通过对子空间的重建,可以从背景信号以及随机噪声分量减少的随机噪声分量可以隔离弱压波信号。

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