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Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved. 相似文献
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脉动风速功率谱与随机Fourier幅值谱的关系研究 总被引:11,自引:0,他引:11
功率谱密度函数是随机过程在频域内的重要特征量,但由于其本质上是平稳过程的频域数值特征,致使其很难全面反映原始随机过程的概率信息,这就需要从更本源的意义上考察随机过程。本文试图从Fourier随机函数的角度反映随机过程,将经典的功率谱密度函数中具有物理意义的可测变量看作随机变量,利用功率谱与Fourier幅值谱的关系,定义了随机Fourier幅值谱;以Davenport谱为例,证实当地面粗糙度服从对数正态分布、10m高度基本风速服从极值Ⅰ型分布时,可通过功率谱构造具有物理意义的随机Fourier幅值谱。通过实测风速Fourier谱与随机Fourier幅值谱的比较,证明随机Fourier幅值谱的概念具有合理性。 相似文献
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关联交叉口交通流模糊变权重组合预测方法 总被引:1,自引:0,他引:1
曹成涛 《中国安全科学学报》2012,22(2):100-106
针对单一交通流预测方法存在的局限性和传统交通流组合预测模型中权重不能动态变化的问题,提出一种关联交叉口交通流模糊变权重组合预测方法。先对交叉口交通流的关联性进行分析,并给出关联交叉口的定义;再建立关联交叉口交通流模糊自适应变权重组合预测模型,该模型分别利用Kalman滤波器模型与SVM模型来预测关联交叉口交通流量,然后根据这2个模型预测的误差和交通量的变化趋势,采用模糊逻辑推理方法,对这2个预测模型分别赋予适当的权重。试验结果表明,组合预测模型的最大绝对误差、平均绝对误差和相关系数均明显好于单一的预测方法,分别为9.8%、4.63%和0.99。 相似文献
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李衍 《中国特种设备安全》2012,(10):34-36
9%镍钢液化天然气储罐制造安装过程中,焊缝检验通常用常规射线照相(RT)进行。本文研讨用相控阵半自动超声检测(AUT)取代射线照相的工艺制定及验证方法。要领分四步:首先带缺陷专用焊接试样的制备;然后相控阵AUT工艺的编制;其次在有已知缺陷的焊接试样上,对AUTT艺作“开放性”验证试验;最后在现场对整个数据采集系统作“封闭性”操作演示和验证评定试验。验证结果表明相控阵AUT取代RT可行可靠,能凸显AUT种种优势。 相似文献
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The evaluation of longitudinal dispersion in aquatic canopies is necessary to predict the behavior of dissolved species and suspended particles in marsh and wetland systems. Here we consider the influence of canopy morphology on longitudinal dispersion, focusing on transport before constituents have mixed over depth. Velocity and longitudinal dispersion were measured in a model canopy with vertically varying canopy density. The vertical variation in canopy morphology generates vertical variation in the mean velocity profile, which in turn creates mean-shear dispersion. We develop and verify a model that predicts the mean-shear dispersion in the near field from morphological characteristics of the canopy, such as stem diameter and frontal area. Close to the source, longitudinal dispersion is dominated by velocity heterogeneity at the scale of individual stems. However, within a distance of approximately 1 m, the shear dispersion associated with velocity heterogeneity over depth increases and eclipses this smaller-scale process. 相似文献
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Anantharaman Chandrasekar C. Russell Philbrick Bruce Doddridge Richard Clark Panos G. Georgopoulos 《Environmental Fluid Mechanics》2005,4(4):339-365
This study presents a comparative evaluation of the prognostic meteorological Fifth Generation NCAR Pennsylvania State University Mesoscale Model (MM5) using data from the Northeast Oxidant and Particle Study (NE-OPS) research program collected over Philadelphia, PA during a summer episode in 1999. A set of model simulations utilizing a nested grid of 36 km, 12 km and 4 km horizontal resolutions with 21 layers in the vertical direction was performed for a period of 101 h from July 15, 1999; 12 UTC to July 19, 1999; 17 UTC. The model predictions obtained with 4 km horizontal grid resolution were compared with the NE-OPS observations. Comparisons of model temperature with aircraft data revealed that the model exhibited slight underestimation as noted by previous investigators. Comparisons of model temperature with aircraft and tethered balloon data indicate that the mean absolute error varied up to 1.5 °C. The comparisons of model relative humidity with aircraft and tethered balloon indicate that the mean relative error varied from –11% to –22% for the tethered balloon and from –5% to –30% for the aircraft data. The mean relative error for water vapor mixing ratio with respect to the lidar data exhibited a negative bias consistent with the humidity bias corresponding to aircraft and tethered balloon data. The tendency of MM5 to produce estimates of very low wind speeds, especially in the early-mid afternoon hours, as noted by earlier investigators, is seen in this study also. It is indeed true that the initial fields as well as the fields utilized in the data assimilation also contribute to some of the differences between the model and observations. Studies such as these which compare the grid averaged mean state variables with observations have inherent difficulties. Despite the above limitations, the results of the present study broadly conform to the general traits of MM5 as noted by earlier investigators. 相似文献