对南方山地勘探激发试验实施方式的新思考

针对南方山地野外地震采集过程中关于如何实施激发试验提出了两点疑问,并对疑问进行了深入的思考,同时在CXN地区进行了一系列激发试验研究探讨,主要研究了传统的井深试验、药量试验的特点,指出其存在的欠科学性,并对这些问题进行了重点分析,提出了相应的解决方法。     

GAC-BAF联合工艺处理高浓度含酚废水

采用活性炭（GAC）吸附-曝气生物滤池（BAF）降解联合工艺处理高浓度含酚废水,对GAC吸附、再生,BAF降解,GAC—BAF联合工艺运行工况进行了研究。结果表明：该联合工艺能有效降解含酚废水;GAC吸附容量与进水流量无关,吸附效果在原水进水pH=3．0、温度20±2℃下达到最佳;反冲进水碱性条件下对GAC解吸再生有利,反冲流量对再生有一定影响;BAF对含酚废水的容忍浓度为1100mg／L,GAC再生废水进入BAF之前需稀释至微生物适宜的pH值和苯酚浓度;GAC—BAF联合工艺中GAC柱进水流量的选择应确保BAF床有足够时间对已吸附饱和的另一平行GAC柱完成再生。该联合工艺将GAC吸附和BAF生物降解结合成连续运行的方式,使得苯酚废水处理过程不受GAC再生的影响,解决了传统GAC吸附和生物降解不适宜处理高浓度含酚废水的缺点。     

改进的基于移动小波树的数据流异常检测方法

针对移动小波树数据流异常检测算法的不足,提出了一种改进的移动小波树异常检测方法,利用比率阈值去除颠簸数据的干扰,提高了检测精度;利用二分查找检测算法,提高了检测的效率;结合实时增量更新算法满足了数据流在线处理的要求;改进了阈值设定方法,可实现双边异常检测。用射线数据和电能质量扰动数据进行仿真实验,结果验证了方法的有效性。     

时频二维搜索捕获算法及其FPGA实现

基于“多段匹配滤波器+FFT”的架构,提出并实现了一种新的适用于高动态下GPS (Global Positioning System)P码直捕的时频二维并行搜索算法,其新颖性在于采用“折叠滤波器+重排序RAM”的结构实现了多段匹配滤波器和在FPGA中全并行地实现了捕获算法。采用流水线结构的硬件实现表明,新算法占用的资源大约为原来的1/16。仿真结果和实际测试都表明该算法在GPS高动态下能更快完成P码直捕。     

Hydrodynamics of gas-solid flow around immersed tubes in bubbling fluidized beds

A numerical study was conducted based on the gas-solid two-fluid model using the body-fitted coordinate system to analyze the behavior of particles and bubbles flow in bubbling fluidized beds without and with immersed tubes. The kinetic theory of granular flow was implemented in the model. The images of simulated instantaneous particle concentration and velocity gave the process of the formation, coalescence and eruption of bubbles. The effects of the tube pitch and superficial gas velocity on the fluidization in a bubbling fluidized bed were investigated. Calculated bubble frequencies without and with immersed tubes were in agreement with previous experimental and simulation findings. The wavelet multi-resolution analysis was used to analyze the simulated data of instantaneous particle concentration. From the random-like particle concentration fluctuations, the fluctuating components due to particle flow and bubble motion can be extracted based on the wavelet multi-resolution analysis over a time-frequency plane.     

Adaptive detectors in the Krylov subspace

The validity of the application of the Krylov subspace techniques in adaptive filtering and detection is investigated. A new verification of the equivalence of two well-known methods in the Krylov subspace, namely the multistage Wiener filters （MWF） and the auxiliary-vector filtering （AVF）, is given in this paper. The MWF and AVF are incorporated into two well-known detectors, namely, the adaptive matched filter （AMF） and Kelly＇s generalized likelihood ratio test （CLRT） including their diagonally loaded versions, which form new detectors. Compared to the conventional AMF, CLRT, and their diagonally loaded versions as well as the reduced-rank AMF and GLRT, the probabilities of detection （PDs） of the new detectors are improved especially when the sample support is low. More importantly, the new detectors are robust of the rank selection of the clutter subspace compared to the reduced-rank AMF and GLRT. These new detectors all possess asymptotic constant false alarm rate （CFAR） property.     

基于K均值与WPA-RBF神经网络模拟电路故障诊断

针对模拟电路故障诊断进行了研究,提出了一种新的方法。该方法包括haar的小波分解,对数据的归一化处理,以及用K均值优化RBF的中心向量和宽度,用狼群算法优化RBF的权值。首先用haar小波对所得的电路原始故障数据集进行变换,然后对变换后的数据进行归一化处理,最终得出RBF神经网络训练所需的输入数据。针对RBF神经网络中隐层节点中心、基函数宽度及权值选取困难问题,这里用K均值优化RBF的中心向量和宽度,用狼群算法优化RBF的权值,以提高网络训练稳定性与诊断成功率。最终通过两个电路的诊断实例,来论述该方法的具体实现过程,验证用该方法进行模拟电路故障诊断的可行性。     

Bearing failure detection using matching pursuit

In this paper, a new approach to the detection of localized defects of rolling element bearings is proposed. It employs matching pursuit with time–frequency atoms to analyze bearing vibration and extract vibration signatures. In particular, this approach utilizes not only the temporal and spectral but also the scale characteristics of the vibration generated due to the presence of a defect for the detection. This leads to a high signal-to-noise ratio and facilitates considerably the detection at the early stage of failure development. Experimental results show that the proposed approach is sensitive and reliable and works better than continuous wavelet transform and envelope detection.     

基于改进的K-means聚类图像分割算法

介绍一种采用K—L变换、二维向量小波和改进的K—means结合的图像分割算法。阐述和分析了二维向量小波变换和Laws纹理能量测度，得出图像每个像素点可用9个纹理特性来描述的结论。运用K—means算法的思想对其进行改进，最后得出分割后的图像。试验结果证明，运用以上处理方法可显著提高分割速度和精度。     

基于虚拟仪器的溢流阀动态特性测试技术

在分析溢流阀动态特性测试原理的基础上，设计了溢流阀动态特性测试虚拟仪器系统。此系统应用小波降噪的方法提高测试信号的质量，然后提取信号特征点，得到溢流阀动态特性的各项参数。