Corner block list representation and its application with boundary constraints

Floorplanning is a critical phase in physical design of VLSI circuits. The stochastic optimization method is widely used to handle this NP-hard problem. The key to the floorplanning algorithm based on stochastic optimization is to encode the floorplan structure properly. In this paper, corner block list (CBL)-a new efficient topological representation for non-slicing floorplan-is proposed with applications to VLSI floorplan. Given a corner block list, it takes only linear time to construct the floorplan. In floorplanning of typical VLSI design, some blocks are required to satisfy some constraints in the final packing. Boundary constraint is one kind of those constraints to pack some blocks along the pre-specified boundaries of the final chip so that the blocks are easier to be connected to certain I/O pads. We implement the boundary constraint algorithm for general floorplan by extending CBL. Our contribution is to find the necessary and sufficient characterization of the blocks along the boundary repre     

Intelligent condition monitoring using fuzzy inductive learning

Extensive research has been performed for developing knowledge based intelligent monitoring systems for improving the reliability of manufacturing processes. Due to the high expense of obtaining knowledge from human experts, it is expected to develop new techniques to obtain the knowledge automatically from the collected data using data mining techniques. Inductive learning has become one of the widely used data mining methods for generating decision rules from data. In order to deal with the noise or uncertainties existing in the data collected in industrial processes and systems, this paper presents a new method using fuzzy logic techniques to improve the performance of the classical inductive learning approach. The proposed approach, in contrast to classical inductive learning method using hard cut point to discretize the continuous-valued attributes, uses soft discretization to enable the systems have less sensitivity to the uncertainties and noise. The effectiveness of the proposed approach has been illustrated in an application of monitoring the machining conditions in uncertain environment. Experimental results show that this new fuzzy inductive learning method gives improved accuracy compared with using classical inductive learning techniques.     

An automatic method for identifying appropriate gradient magnitude for 3D boundary detection of confocal image stacks

Gradients play an important role in 2D image processing. Many edge detection algorithms are gradient‐based. We are interested in 3D boundary detection which can be considered as an extension of 2D edge detection in 3D space. In this paper, an algorithm to automatically and quantitatively measure the suitability of gradient magnitudes in detection of 3D boundary points of confocal image stacks is presented. A Measurement Function is defined to evaluate the suitability of each gradient magnitude chosen to be the threshold for 3D boundary detection. The application of Gauss's Divergence Theorem provides a solution to calculate the Measurement Function numerically. The gradient magnitude at which the maximum of the Measurement Function is achieved can be utilized as the most appropriate threshold for gradient‐based boundary detection and other operations like volume visualization.     

换热边界下梯度功能材料板稳态热应力

用有限元和辛普生法研究了由ZrO2和Ti-6Al～4V组成的梯度功能材料板的稳态热应力问题，检验了孔隙度P为零时数值模拟模型的正确性，给出了对流换热边界下的稳态热应力场分布。结果表明：材料组分的分布形状系数M、孔隙度P、对流换热系数和环境介质温度的变化对该材料板的稳态热应力场分布均有明显的影响；在设定条件下，当P=0时，该材料无限自由长板在金属和陶瓷附近板内为压应力，而在板中部为拉应力；当A=3.99时，陶瓷侧拉应力最大。     

基于暂态功率的高压直流线路单端量保护

针对传统高压直流单端量保护存在可靠性较低的问题,通过计及直流边界、线路频变等因素影响,研究了高压直流线路暂态功率故障特性,提出了基于暂态功率的单端量保护方案。根据暂态功率在正方向区内外故障的频率段差异性,利用高低频段暂态能量比值,构成边界保护元件;针对利用暂态功率频率衰减特征无法区分正反方向故障的局限性,利用暂态功率极性构造方向辅助判据。结合保护启动元件和故障选极元件构成基于暂态功率的单端量保护方案。仿真结果表明,该保护方案能够快速有效地区分直流线路区内外故障,具有一定的抗过渡电阻性能及抗干扰能力,可靠性较高。     

基于KELM和多传感器信息融合的风电齿轮箱故障诊断

为提高风电齿轮箱的运行效率,降低风电场的运行维护成本,结合时域统计特征分析和多传感器信息融合技术,提出了一种基于灰狼优化核极限学习机(GWO-KELM)的风电齿轮箱状态监测新方法。首先,计算原始振动信号不同的时域统计特征参数,并采用并行叠加的方式对特征级和数据级进行信息融合以得到融合数据集。其次,利用融合数据集,建立了基于GWO-KELM的故障分类识别模型。最后,运用所提方法对QPZZ-Ⅱ旋转机械振动试验台齿轮箱实测数据进行状态监测,实例结果表明了该方法的有效性和可行性,与其他同类方法相比,所提方法具有最佳分类性能。     

Dynamic asymmetrical instability of elastic–plastic beams

Dynamic instability of elastic–plastic beam is investigated by employing a three-degree-of-freedom (3-DoF) beam model. Especially, asymmetrical instability induced by symmetrical load is discussed. The asymmetrical instability is considered as a second-order buckling mode. Four types of perturbations, i.e., geometrical misalignment, material property mismatch, unsymmetry of applied load and disturbance of boundary conditions, are introduced to activate the asymmetrical responses. The asymmetrical response is characterized by a modal participation factor α₂ which corresponds to an asymmetrical mode shape. Phase plane trajectories and Poincaré map are used to illustrate the chaotic characteristics of the beam response. Results show that if the perturbations are small enough, the perturbation type has negligible influence on the critical load for the occurrence of the asymmetrical instability, which implies that the asymmetrical instability is an intrinsic feature of the beam system. However, with the increase of the magnitude of the perturbations, the influence of the asymmetrical vibration is expanded to a large extension of loading parameter.     

往复压缩机组状态监测系统开发

往复压缩机组状态监测系统的开发，主要是针对机组的运行特点和现场要求而设计的，通过对机组进行状态监测，可以实时掌握机组运行状态和变化趋势，为实现预知维修及机组的高效运行提供了可靠的保障。     

基于组态思想的压缩机组网络工况监测与远程诊断系统开发

提出一种新型的基于组态化思想的压缩机组网络工况监测与远程故障诊断系统。该系统以组态化网络监视与诊断系统管理平台的Web服务器为核心，加上多台工控机和普通计算机组成。用户在远程的浏览器上方便地控制和管理现场工控机，组建网络在线实时监视子系统、数据分析了系统和远程诊断子系统。论述系统的总体方案，现场监视子系统、数据传输管理软件、网络监视与诊断子系统以及系统管理平台的设计，阐述系统组态构建过程、最后给出系统在现场实际应用的例子。     

奥氏体不锈钢搪玻璃反应釜的研制和应用

用奥氏体不锈钢作为搪玻璃反应釜的受压元件基体和设计的专用底釉 ,经特定的搪烧工艺方法制成在一定的低温工况 (≥ - 40℃～≤ - 2 0℃ )下能安全运行的不锈钢搪玻璃反应釜。该设备的推广应用对促进我国生物工程、医药化工、有机高分子等行业的发展起到积极作用。