Gaussian process assisted coevolutionary estimation of distribution algorithm for computationally expensive problems

In order to reduce the computation of complex problems, a new surrogate-assisted estimation of distribution algorithm with Gaussian process was proposed. Coevolution was used in dual populations which evolved in parallel. The search space was projected into multiple subspaces and searched by sub-populations. Also, the whole space was exploited by the other population which exchanges information with the sub-populations. In order to make the evolutionary course efficient, multivariate Gaussian model and Gaussian mixture model were used in both populations separately to estimate the distribution of individuals and reproduce new generations. For the surrogate model, Gaussian process was combined with the algorithm which predicted variance of the predictions. The results on six benchmark functions show that the new algorithm performs better than other surrogate-model based algorithms and the computation complexity is only 10% of the original estimation of distribution algorithm.     

Application of fuzzy analytic hierarchy process and neural network in power transformer risk assessment

In operation, risk arising from power transformer faults is of much uncertainty and complicacy. To timely and objectively control the risks, a transformer risk assessment method based on fuzzy analytic hierarchy process (FAHP) and artificial neural network (ANN) from the perspective of accuracy and quickness is proposed. An analytic hierarchy process model for the transformer risk assessment is built by analysis of the risk factors affecting the transformer risk level and the weight relation of each risk factor in transformer risk calculation is analyzed by application of fuzzy consistency judgment matrix; with utilization of adaptive ability and nonlinear mapping ability of the ANN, the risk factors with large weights are used as input of neutral network, and thus intelligent quantitative assessment of transformer risk is realized. The simulation result shows that the proposed method increases the speed and accuracy of the risk assessment and can provide feasible decision basis for the transformer risk management and maintenance decisions.     

Stretch rate and deformation for pre-stretching aluminum alloy sheet

Numerical simulation combined with experimental test was carried out to analyze the pre-stretching process of the 7075 aluminum alloy sheet, from which the stress variation curves and residual stress of aluminum alloy sheet in different stretch rates were obtained. The results show that the residual stress in length direction is released after unloading the stretch force, while the residual stress in width direction is released during the stretching process. The study of residual stress elimination is beneficial for optimizing stretch rate on the basis of residual stress distribution law. By comparing the variation principle of residual stress in length direction, the size range of three deformation areas and elimination percentage of residual stress were obtained. The residual stresses of clamping area and transition area are not eliminated effectively, so sawing quantity should be the sum of both the areas. The elimination rate of residual stress in even deformation area could reach 90% after choosing a proper stretch rate, which is verified by both simulation and experiment.     

激光角度欺骗仿真系统的软件可靠性指标分配

在激光角度欺骗仿真系统的需求分析和概要设计阶段,使用基于模糊故障模式、影响及危害性分析(FMECA)框架的分配法对该系统软件可靠性分配。首先建立影响因素集、评价集合;然后基于FMECA框架进行模糊综合评价;再利用层次分析法(AHP)得到权重集;最后通过量化手段得到各子系统的不可靠系数并将它们转化为平均无故障时间(MTBF)。最终得到的可靠性指标符合专家评估和类似软件系统的可靠性分配结果。     

高精度磁测在沉积型磁铁矿区的找矿效果

沉积型磁铁矿脉特点是矿脉宽度小,品位低,综合磁性不均匀。通过对已知矿体进行剖面测量,证明高精度磁测的有效性,对野外实测数据进行日变校正、正常场校正、高度校正、水平梯度校正,化极、向上延拓、求取垂向二阶导数,以及对实测磁异常剖面进行人机对话反演等处理获得良好的效果。本次高精度磁测工作查明了矿区内磁铁矿（化）体的空间分布范围及大致埋深情况,圈定了几个有价值的磁铁矿（化）体靶区,取得了良好的找矿效果。     

综合物探方法在新凉亭铜铅锌矿区的试验效果

通过在新凉亭铜铅锌矿区已知矿上开展可控源音频大地电磁法（CSAMT）、复电阻率法（CR）、时域激电法（TDIP）的方法试验,为该矿区下一步找矿选择合适的物探方法。经试验认为,CSAMT能有效探测容矿断裂构造,TDIP能确定矿体顶板位置及矿体倾向,CR能有效圈定矿体空间范围,下一步物探找矿应以CSAMT、TDIP为主,CR法因成本过高,仅在重要成矿有利地段辅以少量工作进行异常评价。     

海米罗斯地区地震资料目标处理技术研究

在海米罗斯工区勘探中,地震地质条件极为复杂,主要表现为地表沙山起伏剧烈和地下大倾角推覆构造。由此导致地震记录信噪比低、各种干扰波发育和近地表静校正问题突出。由于浅层的强波阻抗界面屏蔽了下传能量,导致有效波较弱,对地震资料处理带来很大难度。针对该地区原始资料特点,重点改善奥陶系主要目标层的反射品质及构造带轴部中深层反射信噪比为目标,开展静校正技术、叠前多域去噪、叠前时间偏移等目标处理技术研究,有效提高了地震剖面成像质量。     

RoF系统中OCS调制的色散特性研究

为了降低RoF系统中色散的影响,研究了基于OCS调制的RoF链路传输性能,并对不同基带码元传输脉冲抗色散能力进行了仿真。结果表明,高斯脉冲在光纤传输距离小于最大传输距离的1/2时,能够有效抵抗色散导致的码元时移效应,非归零码脉冲的抗色散能力相对比较稳定,适合长距离的传输。     

基于本体的轴类零件变型设计方法

为解决传统轴类零件变型设计知识在异构系统中难以共享和重用的问题,提出一种基于本体的轴类零件变型设计方法。利用网络本体语言OWL定义轴类零件变型设计的概念与关系,建立变型设计本体。采用语义网络规则语言SWRL定义变型设计的约束知识,构建轴类零件变型设计知识库,实现了尺寸信息与公差信息的推理。本设计方法为进一步开发基于本体的变型设计系统,实现变型设计知识在异构系统之间的顺畅传递与共享奠定了基础。