基于相关向量机模型的腐蚀声发射信号识别

相关向量机(RVM)模型的分类性能与其核函数参数的选择有密切关系。本文分别利用人工蜂群算法(ABC)、粒子群算法(PSO)和遗传算法(GA)寻找相关向量机模型的最优参数,对几种方法的寻优性能进行了对比。采用基于二叉树结构的一对多扩展方法,对二分类相关向量机模型进行了扩展,建立了四分类模型。基于该分类模型对罐底腐蚀声发射信号进行识别,将声发射特征参数和频域参数作为模型的输入参数,获得了较好的识别结果。     

液压振动台功率谱复现控制研究

PID控制因为结构简单、稳定性好、可靠性高等优点被广泛应用。针对实际控制系统往往存在非线性因素,常规PID不能满足实际需求,设计了基H1法频响函数估计的变参数PID控制算法。通过对两点激励液压振动试验系统进行随机振动试验,表明H1法变参数PID控制算法对振动台具有良好的控制效果,可以实现高精度的功率谱复现。     

Two-Dimensional Automatic Control Modeling of a Posture Control System

A posture control model has been developed on the basis of the 2-dimensional feedback control theory. Human postural characteristics were investigated in 5 healthy participants. Tests were performed with eyes open and eyes closed. After 5 s of quiet standing, each participant was unexpectedly pulled forward by 30 mm at his pelvis height and then released. Postural sway was measured over 20 s at a rate of 100 per second. Transfer functions to represent the posture control characteristic were identified by the least squares' method. These showed good results of the model's fitness, predictability, and stability. The response of the eyes-closed condition to perturbation is more oscillatory than that of the eyes-open condition. It seems that the model identified could be applicable to ergonomics, sports, or clinical situations.     

心理迫切因素对行人疏散动力学的影响研究

为更准确地描述行人疏散动力学特征,利用目前行人疏散模型对行人疏散进行模拟研究发现:疏散空间行人拥堵时,会出现疏散区域某些位置的行人一直处于竞争劣势而保持位置不动的现象,这与行人实际疏散运动不符.考虑到现实情况,行人在等待的过程中会积极寻找机会,实现成功疏散;基于此,在疏散模型中引入了心理迫切因素的概念,表征了行人等待过程中竞争能力的变化,完善了行人疏散模型.对新模型模拟研究发现,在考虑等待时的心理迫切因素后,该模型能够更好地表达行人疏散的动力学特征,可更为准确地再现行人的疏散运动轨迹和路径,同时研究发现,引入等待迫切因素后并不会影响总的疏散时间.     

Oracle-based optimization applied to climate model calibration

In this paper, we show how oracle-based optimization can be effectively used for the calibration of an intermediate complexity climate model. In a fully developed example, we estimate the 12 principal parameters of the C-GOLDSTEIN climate model by using an oracle-based optimization tool, Proximal-ACCPM. The oracle is a procedure that finds, for each query point, a value for the goodness-of-fit function and an evaluation of its gradient. The difficulty in the model calibration problem stems from the need to undertake costly calculations for each simulation and also from the fact that the error function used to assess the goodness-of-fit is not convex. The method converges to a ‘best fit’ estimate over 10 times faster than a comparable test using the ensemble Kalman filter. The approach is simple to implement and potentially useful in calibrating computationally demanding models based on temporal integration (simulation), for which functional derivative information is not readily available.     

APPLICATION OF THE BASINS DATABASE AND NPSM MODEL ON A SMALL OHIO WATERSHED1

ABSTRACT: The purpose of this study was to evaluate the Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) watershed management system. BASINS data were used with the NPSM model to predict discharge and sediment concentrations at the outlet of a 103 km² Ohio watershed. It was concluded that the NPSM model should always be calibrated but only a few of the parameters provided with BASINS needed to be calibrated. For a three‐year study period, there was a 2 percent underestimation of discharge using area weighted precipitation values and a 25 percent overestimation using the single station data in BASINS. A comparison of observed and predicted monthly discharge resulted in an r² of 0.86 with area‐weighted precipitation and an r² of 0.74 with the single station data. Calibrating the model to substantially improve sediment predictions was unsuccessful and we concluded that a calibration period of one year was too short. For the three‐year study period, the r² for sediment was 0.36 with a slope of 0.37 and an intercept of 18.8 mg/l. The mean observed and predicted sediment concentrations were 27.1 mg/l and 22.6 mg/l, respectively.     

亚甲基蓝分光光度法测定硫化物校准曲线斜率、截距参考值研究

通过近三年实验室采用亚甲基蓝分光光度法测定硫化物校准曲线制作的一系列原始数据的收集,并通过数理统计方法对校准曲线、-余标准偏差、斜率扩展不确定度、截距扩展不确定度开展了详细讨论,得出亚甲基蓝分光光度法测定硫化物校准曲线斜率(b)参考范围为:0.019 1±0.00044,截距(a)参考值范围:0.003 3±0.005 0.此结果对实验室分析人员判定硫化物项目校准曲线制作是否合格具有一定的参考价值.     

A CFD based explosion risk analysis methodology using time varying release rates in dispersion simulations

A full probabilistic Explosion Risk Analysis (ERA) is commonly used to establish overpressure exceedance curves for offshore facilities. This involves modelling a large number of gas dispersion and explosion scenarios. Capturing the time dependant build up and decay of a flammable gas cloud size along with its shape and location are important parameters that can govern the results of an ERA. Dispersion simulations using Computational Fluid Dynamics (CFD) are generally carried out in detailed ERA studies to obtain these pieces of information. However, these dispersion simulations are typically modelled with constant release rates leading to steady state results. The basic assumption used here is that the flammable gas cloud build up rate from these constant release rate dispersion simulations would mimic the actual transient cloud build up rate from a time varying release rate. This assumption does not correctly capture the physical phenomena of transient gas releases and their subsequent dispersion and may lead to very conservative results. This in turn results in potential over design of facilities with implications on time, materials and cost of a project.In the current work, an ERA methodology is proposed that uses time varying release rates as an input in the CFD dispersion simulations to obtain the fully transient flammable gas cloud build-up and decay, while ensuring the total time required to perform the ERA study is also reduced. It was found that the proposed ERA methodology leads to improved accuracy in dispersion results, steeper overpressure exceedance curves and a significant reduction in the Design Accidental Load (DAL) values whilst still maintaining some conservatism and also reducing the total time required to perform an ERA study.     

支持向量机在边坡稳定性预测中的应用

针对离子型稀土原地浸矿边坡稳定性问题的小样本、非线性等特点,采用一种边坡稳定性预测模型——支持向量机(SVM)模型,分别使用网格参数寻优、遗传算法(GA)参数寻优、粒子群(PSO)寻优算法来计算SVM模型的参数,分析比较3种算法得到的参数,确定最适合离子型稀土原地浸矿边坡稳定性预测的SVM回归模型的参数寻优算法。     

湿法脱硫后烟气中SO3/硫酸雾测试方法的试验

在自行设计和搭建的模拟湿法脱硫烟气系统中,研究了基于控制冷凝法原理的SO_3/硫酸雾采集装置对湿法脱硫后SO_3/硫酸雾的捕集性能,重点考察了螺旋管与石英棉冷凝温度、采样枪温度、采样流量、采样时间和SO_3/硫酸雾质量浓度对SO_3/硫酸雾捕集性能的影响。结果表明,在研究范围内,湿法脱硫后SO_3/硫酸雾采集装置优化的操作参数为:螺旋管及石英棉冷凝温度95℃,采样枪温度280℃,采样流量17 L/min,采样时间30 min。SO_3/硫酸雾质量浓度较高时,螺旋冷凝管对SO_3/硫酸雾的捕集起主要作用,其捕集的SO_3/硫酸雾比例在75.8%~80.8%,远高于螺旋冷凝管与石英棉捕集SO_3/硫酸雾的比例;SO_3/硫酸雾质量浓度较低(约1mg/m3)时,采样枪对SO_3/硫酸雾的捕集起主要作用,其捕集SO_3/硫酸雾的比例大于50%。