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APPLICATION OF CORRELATION DIMENSION IN LEAK IDENTIFICATION OF TRANSPORT PIPELINES

机译:相关维在运输管道泄漏识别中的应用

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摘要

This paper reports on the application of chaotic correlation dimension method in leak identification of transport pipelines. The Grassberger-Procaccia algorithm and the Least Squares Regression method are used to calculate the correlation dimension of pressure signals, then the resulted correlation dimension is further used as a criterion to recognize the negative pressure wave which is an indication of leak faults. Experimental results based on real data indicate that the correlation dimension can reflect the dynamic characteristics of practical pressure signals and therefore can be used as a parameter for condition monitoring and fault identification of the transport pipelines.
机译:本文报道了混沌相关维数法在运输管道泄漏识别中的应用。用格拉斯伯格-普罗卡恰算法和最小二乘回归法计算压力信号的相关维数,然后将所得的相关维数进一步作为判别负压波的判据,该负压波是泄漏故障的征兆。基于实际数据的实验结果表明,相关维数可以反映实际压力信号的动态特性,因此可以用作传输管道状态监测和故障识别的参数。

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