格尔木水电一分厂微机监测与故障诊断

简介了全分布式控制网络构成的水电厂微机监测系统的结构、功能和故障诊断系统。它不仅能实时监测机组运行参数，且可对事故做出快速反应，大大提高了水电厂安全运行水平。由于网络采用总线拓扑结构和真正的全分布方式，因而在老电厂的技术改造中，不仅运行可靠、抗干扰能力强，且布置安装简便，投资省。     

优化运行理论在泵站综合自动化系统中的应用

利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。将这两个模型应用到泵站综合自动化系统中，可以完成对泵站流量及效率的准确预测，并在此基础上实现泵站的优化运行。讨论了泵站优化运行理论在泵站综合自动化系统中应用的步骤和方法。     

离心输油泵故障诊断专家系统的研究与实现

提出了一种新的对基本神经网络进行组合的思路，将基本神经网络分层联接，每一层对应对象的某一属性，并根据属性分类。以这一思路为指导，组建了BP网络与竞争网络组织相结合的神经网络，并以此为核心，搭建了离心输油泵故障诊断专家系统的框架。     

神经网络方法在车内噪声信号预测中的应用

针对以往车内噪声有源控制过程中存在的次级声源在初级声场采样传声器上的声反馈问题，提出了车内噪声信号识别和预测的神经网络方法。对被试面包车在稳态和非稳态两种工况下的试验研究表明，利用车身悬置点和发动机的振动信号，通过BP神经网络来识别和预测车内驾驶员耳旁噪声是可行的，可以解决次级声源在初级声场采样传声器上的声反馈问题。     

基于BP神经网络的润滑流量因子系数的预测

因现有润滑方程中的流量因子系数值有限，不能满足摩擦学研究的需要。本文利用BP神经网络，使用L—M规则，对润滑方程中流量因子系数进行了预测。训练时，以微凸体的纵横比v为输入样本,输出样本为压力流量因子的两个系数。结果表明：训练良好的BP网络输出数据与实测数据吻合较好，并具有收敛速度快等特点。     

快速环路分解遗传算法在配电网络重构中的应用

为了有效提高配电网络的收敛速度，避免不成熟收敛，在传统遗传算法的基础上，提出了一种快速环路分解遗传算法。提出用支路的开关状态(0或1)作为控制参数，避免繁琐的编码方法，缩短了染色体的长度，同时对交叉位置的选取和变异提出了独特的方案，并用于网络重构中，极大地提高了计算效率。     

基于粗糙集与神经网络的农机化发展水平评估方法

在分析现有农业机械化发展水平评价方法的基础上 ,提出了粗糙集理论与人工神经网络技术相结合的农业机械化发展水平评价指标简化体系和评价方法。实例表明 ,约简后的指标体系可以获得原有指标体系的分类结果 ,但比原有模型少了 6 0 %的指标 ,大大减少了信息的需求量 ,为农机化水平评价提供了一种新的途径。     

Sensitivity analysis of optimal operation of irrigation supply systems with water quality considerations

A model for optimal operation of water supply/irrigation systems of various water quality sources, with treatment plants, multiple water quality conservative factors, and dilution junctions is presented. The objective function includes water cost at the sources, water conveyance costs which account for the hydraulics of the network indirectly, water treatment cost, and yield reduction costs of irrigated crops due to irrigation with poor quality water. The model can be used for systems with supply by canals as well as pipes, which serve both drinking water demands of urban/rural consumers and field irrigation requirements. The general nonlinear optimization problem has been simplified by decomposing it to a problem with linear constraints and nonlinear objective function. This problem is solved using the projected gradient method. The method is demonstrated for a regional water supply system in southern Israel that contains 39 pipes, 37 nodes, 11 sources, 10 agricultural consumers, and 4 domestic consumers. The optimal operation solution is described by discharge and salinity values for all pipes of the network. Sensitivity of the optimal solution to changes in the parameters is examined. The solution was found to be sensitive to the upper limit on drinking water quality, with total cost being reduced by 5% as the upper limit increases from 260 to 600 mg Cl l^–1. The effect of income from unit crop yield is more pronounced. An increase of income by a factor of 20 results in an increase of the total cost by a factor of 3, thus encouraging more use of fresh water as long as the marginal cost of water supply is smaller than the marginal decrease in yield loss. The effect of conveyance cost becomes more pronounced as its cost increases. An increase by a factor of 100 results in an increase of the total cost by about 14%. The network studied has a long pipe that connects two distinct parts of the network and permits the supply of fresh water from one part to the other. Increasing the maximum permitted discharge in this pipe from 0 to 200 m³ h^–1 reduces the total cost by 11%. Increasing the maximum discharge at one of the sources from 90 to 300 m³ h^–1 reduces the total cost by about 8%.     

排种器性能检测中种子位置智能检测方法

根据基于计算机视觉的排种器性能检测的特点，提出了基于神经网络的种子位置智能检测方法。采用两个光轴互相垂直的摄像机监测投种规律，并把以矩法求取的质心图像坐标作为输入节点，构造检测种子质心实际坐标的两个神经网络，并行处理左右两幅图像，从而快速求得种子位置。实践表明，此方法不仅能求出种子位置，而且可全面监测种子的运动情况。     

From on-farm solid-set sprinkler irrigation design to collective irrigation network design in windy areas

In this paper, a contribution to the design of collective pressurised irrigation networks in solid-set sprinkler-irrigated windy areas is presented. The methodology is based on guaranteeing minimum on-farm performance, using a historical hourly wind speed database and a ballistic solid-set irrigation simulation model. The proposed method was applied to the Montesnegros Irrigation District (central Ebro basin, Spain). The district irrigates an area of 3493 ha using an on-demand schedule. The average wind speed in the area is 2.8 m s⁻¹. An analysis of district water records showed that farmers often reduce water demand when the wind speed is high, but their irrigation decision making is limited by the capacity of the irrigation network and by the unpredictable character of local winds. Simulations were performed for 11 irrigation seasons, 2 triangular sprinkler spacings (18 m × 18 m and 18 m × 15 m), and 2 sprinkler models. The percentage of monthly suitable time for irrigation was determined for four management strategies. The first one was based on a wind speed threshold (3 m s⁻¹), while the other three were based on three levels (standard, relaxed and restrictive) of two irrigation performance parameters: the Christiansen Uniformity Coefficient (CU) and the Wind Drift and Evaporation Losses (WDEL). The standard strategy classified the time as suitable for irrigation when CU ≥ 84% and WDEL ≤ 20%. The thresholds limits of the irrigation parameters for the relaxed strategy were CU ≥ 80% and WDEL ≤ 25%. Finally, the restrictive strategy used thresholds of CU ≥ 90% and WDEL ≤ 15%. The suitable time for the first strategy (56%) was always lower than for the standard and the relaxed strategies (with respective average values of 75 and 86%), and higher than for the restrictive strategy (30%). In order to design the collective network, the hydrant operating time was equalled to the suitable time for irrigation. The differences in the cost of the collective network plus the on-farm equipment were particularly relevant between the restrictive strategy and the other three. Differences in suitable operating time were clear between sprinkler spacings, and less evident between sprinkler models. The application of the proposed methodology may be limited by the availability of historical wind speed records and CU estimates for different combinations of sprinkler models, sprinkler spacings and wind speed.