悬臂式掘进机截割臂互换性设计

针对现有掘进机多采用单一的横轴式或者纵轴式整机,对不同岩层掘进工作的适应能力差等问题,提出一种面向不同岩层的掘进机截割臂互换性设计方案。对纵、横轴式2种掘进机的结构特点与性能进行了对比分析;针对2种截割臂工作模式的特点,分别设计了相应的截割减速器。Solidworks仿真结果表明,与单一横轴式或者纵轴式掘进机相比,采用互换式截割臂结构可有效提高掘进机对不同岩层截割工作的适应能力,提高掘进效率,节省设备运输及使用成本。     

矿用区域温度监测系统研制

针对现有的火灾探测器仅能对已发生的火灾进行探测,而在火灾发生前、环境温度较低时,却无法发出报警信号的问题,设计了一种可应用于非煤矿山的基于测温电缆的区域温度监测系统。该系统采用线状温度传感器连续监测探测区域的最高温度,在火灾未发生时即可发出预警信号,从而避免事故发生或引起火灾。试验结果验证了该系统的可行性。     

High power and low cross‐polarization microstrip patch array antenna at S‐band

This article reports the design and development of high power, low cross‐polarization, and high efficiency circularly polarized microstrip patch array antenna at S‐band, proposed for Indian Regional Navigation Satellite System payload. A novel feeding mechanism for truncated corner square patch based on square coaxial line for broadband impedance matching is discussed. Sequential rotation scheme for axial ratio improvement in an array is implemented. High power handling margins in critical regions of square coaxial line for multipaction breakdown is brought out. Measured 19 dB return loss bandwidth of array antenna is 15.6%. Axial ratio of 0.78 dB over global coverage is achieved in the desired frequency band of operation. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012.     

Simultaneous solving of balancing and sequencing problems with station-dependent assembly times for mixed-model assembly lines

In spite of many studies, investigating balancing and sequencing problems in Mixed-Model Assembly Line (MMAL) individually, this paper solves them simultaneously aiming to minimize total utility work. A new Mixed-Integer Linear Programming (MILP) model is developed to provide the exact solution of the problem with station-dependent assembly times. Because of NP-hardness, a Simulated Annealing (SA) is applied and compared to the Co-evolutionary Genetic Algorithm (Co-GA) from the literature. To strengthen the search process, two main hypotheses, namely simultaneous search and feasible search, are developed contrasting Co-GA. Various parameters of SA are reviewed to calibrate the algorithm by means of Taguchi design of experiments. Numerical results statistically show the efficiency and effectiveness of the proposed SA in terms of both the quality of solution and the time of achieving the best solution. Finally, the contribution of each hypothesis in this superiority is analyzed.     

Transport properties of critical dilute solutions

On the basis of the isomorphism of critical phenomena, the behavior of transport properties of binary mixtures in the vicinity of the vapor-liquid critical line is considered. In particular, the renormalization of the singularity of the thermal conductivity in dilute critical solutions has been analyzed in detail. It is shown that the behavior of the thermal conductivity is determined by the critical background, i.e., the fluctuation-induced regular part, which diverges at the critical point of a solvent.     

改进的Beamlet与Canny相结合提取复杂图像线特征

传统Beamlet无结构算法在提取图像线特征时不仅存在重叠模糊的缺陷,而且在提取复杂图像线特征时不能有效地检测出目标信息,细节特征更是难以刻画。针对这些问题,提出将改进的Beamlet无结构算法与Canny算子相结合的方法提取复杂图像的线特征。首先,对图像进行Beamlet变换,通过改进Beamlet无结构算法,采用新的能量统计和制定新的划线规则,以保证每个二进方块最多有一条最优基;然后,对图像用Canny算子检测边缘,通过选取较大的Sigma,只检测明显的大边缘;最后,两者结合得到图像的线特征。从检测的线特征的线型连接程度等方面对该算法的性能进行了评价,并与现有的方法进行了比较,实验结果表明,该方法克服了两种方法单独提取线特征时存在的断裂、重叠、模糊和虚假边缘的缺点,有效地提高了复杂图像线特征提取的准确性和连续性。     

基于MSP430单片机的线路故障数据采集器硬件设计

基于MSP430的线路故障数据采集器整套设备具有超低功耗、高效管理故障指示器,对下与对上均采用无线通信方式且不会相互干扰等优势。文中以MSP430单片机为核心设计了一个专门用来管理挂接于配电线路的故障指示器的数据采集设备的硬件电路,并针对相关需求,给出了详细的硬件电路图。该系统可用于一次侧线路的故障检测,还可通过配合电能智能终端,应用于防窃电等场合。     

浅析高速线材轧制的稳定性

在高速线材轧制过程中，轧件易发出偏斜和扭转，如果能够实现自动找正，则可保证顺利轧制。通过分析高速线材生产中的椭圆——圆孔型系统的受力条件，证明椭圆——双心圆孔型系统有更好的稳定性和找正作用，为高速线材孔型设计提供了稳定性依据。     

基于深度学习与不平衡样本集的输电线路故障分类

针对输电线路各类型故障样本间的数量不平衡会造成人工智能算法对故障中的少数类样本识别精度不足的问题,提出了一种基于Borderline-SMOTE（BSMOTE）算法与卷积神经网络（CNN）相结合的输电线路故障分类方法。该方法首先利用BSMOTE算法对位于分类边界上的少数类样本进行过采样合成处理,改善样本间的不平衡度,然后将所提取的一维故障电流信号样本重构成二维灰度图像数据形式,并在Pytorch深度学习框架下搭建了CNN网络模型,利用模型的自主学习能力对灰度图像进行特征自提取与辨识,减少传统人工设计特征提取的工序,完成对输电线路故障类型的分类。实验结果表明该模型能够提高对少数类故障样本的识别能力,准确地判断故障类型,并对噪音具有较强的抗干扰能力。     

GIL机械故障诊断与预警技术研究

为了有效诊断气体绝缘金属封闭输电线路(GIL)的机械故障,搭建了110 kV GIL试验平台并设计了3种典型机械故障,通过互补集合经验模态分解(CEEMD)模糊熵值与鲸鱼优化极限学习机(WOA-ELM)模型联合方法对GIL机械故障模式进行识别与诊断。首先,利用CEEMD方法对振动信号进行分解,引入正负白噪声组对信号进行处理,得到含有故障信息的模态分量(IMF)。其次,利用模糊熵计算模态分量特征值,得到能表征故障特征的模糊熵值。最后,结合WOA-ELM模型对特征向量集进行模式识别,根据聚类结果与自适应阈值对GIL设备机械故障进行诊断和预警。结果表明,利用CEEMD与模糊熵对GIL振动信号特征进行分析,可以有效避免模态混叠和冗余噪声分量的干扰,得到能够表征故障特征的特征值;利用WOA-ELM模型可以有效实现GIL设备机械故障诊断与预警。