一种基于六序网图的同杆双回线故障测距算法

采用六序分量法分析同杆双回线故障中的非跨线故障,并依照故障时故障点的电气量特征列出方程,进行非跨线故障测距.将同杆双回线故障后的电气量转化为同序正序和反序正序分量,根据单回线各种故障类型的边界条件得到各六序网图的连接关系,利用同序正序和反序正序电流在故障点的特殊关系构成测距方程,从而进行精确故障测距.该测距方法使得同杆双回线的故障测距精度不受故障点过渡电阻、回线故障类型的影响.EMTP仿真显示,该测距方法精度高,计算方便,在过渡电阻较大时仍能满足测距精度要求,且不受系统运行方式变化等因素影响.     

基于SE/ DFSS 的相控阵雷达天线阵面设计流程优化和验证

针对相控阵雷达天线阵面设计过程不精细、数据追溯困难、需求分析不充分等问题,运用系统工程和六西格玛设计方法,开展相控阵雷达天线阵面的设计流程的优化,精细化地展开设计活动,建立模板表单,优化设计过程和设计规范,并在相控阵雷达天线阵面的研制中完成流程验证,提升了设计质量和降低研制风险。     

六维加速度传感器动力学方程的矩阵解法

并联式六维加速度传感器动力学方程的强耦合、非线性,给加速度六分量实时、稳定、精确的解耦带来困难。通过引入辅助角速度,系统的欧拉动力学方程由二阶非线性微分方程组化简为一阶线性非定常微分方程组。通过两次利用矩阵解法来分别获得载体辅助角速度和姿态四元数的数值解,从而求解出载体的角运动参量。将角运动参量代入系统牛顿动力学方程中可获取载体的线运动参量,继而实现了加速度六分量的完全解耦。动力学仿真试验表明,在5s内,利用矩阵解法获得的线加速度及角加速度误差分别在0.2%和0.1%以内,充分说明了所推导矩阵解法的正确性及有效性。     

Unscented Kalman filtering in the additive noise case

The unscented Kalman filter(UKF) has four implementations in the additive noise case,according to whether the state is augmented with noise vectors and whether a new set of sigma points is redrawn from the predicted state(which is so-called resampling) for the observation prediction.This paper concerns the differences of performances for those implementations,such as accuracy,adaptability,computational complexity,etc.The conditionally equivalent relationships between the augmented and non-augmented unscente...     

A continual improvement framework with integration of CMMI and six‐sigma model for auto industry

During the recent years, the major driving forces of customer preference, vehicle safety, environmental protection, and flat demand for new cars led to a proliferation of car models and associated price reduction in the auto supply chain. To react to the complex and competitive environment, auto suppliers are urgent to conduct continual improvement (CI) in an effective and systematic way. Thus, this paper presents a framework for CI. The Integrated Development System is proposed to integrate both capability maturity model integration and six‐sigma approach. By implementing the framework, an automaker can establish a solid process‐based management system, identify critical processes, and optimize these processes. For demonstrating the application of this framework, a case study is presented and the result shows that all expected processes' performance targets are achieved, which has dramatically improved by 70% compared with the past records. Apparently, the proposed framework would act as a useful reference to improve an organization's process maturity. Copyright © 2008 John Wiley & Sons, Ltd.     

斜六辊钢管矫直机平衡-锁紧液压系统改进设计

文中介绍了两种斜六辊管矫直机的平衡-锁紧液压系统,并对两种系统进行比较,通过使用不同常规液压阀的设计组合,达到一种更加合理的矫直机平衡-锁紧液压控制系统。     

Implementation of delta—sigma analog‐to‐digital converter in LTPS process

Abstract— An on‐panel delta—sigma analog‐to‐digital converter (ADC) has been implemented and verified for 3‐μm low‐temperature polysilicon (LTPS) technology with two basic blocks: a delta—sigma modulator and a decimation filter. From the experimental results, the digital output from the delta—sigma modulator is correctly matched with the analog input voltage ratio such that the digital output can be converted into 8‐bit digital code successfully under a supply voltage of 10 V from the decimation filter. The implemented on‐panel delta—sigma ADC can be used for the application of temperature‐to‐digital converter on glass substrate.     

6σ管理在炼钢质量管理中的实践与应用

介绍了6σ管理的特征、DMAIC改进模式，6σ管理在莱钢炼钢厂钢水成分、氧含量等质量控制中的应用及取得的效果。     

汶川地震的6区域模型加速度峰值衰减关系

利用加速度记录直接拟合衰减关系时,几乎所有现行文献都采用圆模型,以震中距或震源距为观测点坐标位置的唯一统计量。对于长断层的大震而言,等震线的圆模型假设和实际等震线图存在严重的偏差,为修正这种偏差,作者曾提出了4区域的椭圆模型,但是该模型忽略了断层长度垂直范围的2个区域,导致其等震线形状没有沿着断裂方向"发散开"的趋势。且不能反映破裂方向对短轴衰减的影响。该文提出的加速度衰减关系的6区域模型,通过过断层方向和过断层两端点且垂直于断层6条分割线,将地震记录观测点位置分为6个区域,通过研究沿分割线方向的衰减关系得到地震动衰减与衰减路径所处区域的相关性。以汶川8.0级地震为例,说明模型下的6条衰减关系,各自代表的物理意义以及汶川地震地震动峰值加速度衰减的区域特性。在拟合精度上,该模型较圆模型有大幅提高,比4区域椭圆模型略高,在反映地震动区域特性上,比4区域模型更加细致的反映了断层破裂方向效应和上下盘效应。     

Downstream performance prediction for a manufacturing system using neural networks and six-sigma improvement techniques

Intelligent techniques have been applied in a range of industrial environments [Meziane F, Vadera S, Kobbacy K, Proudlove N. Intelligent systems in manufacturing: current developments and future prospects. Integrated Manuf Syst 2000;11(4):218–38; Stephanopoulos G, Han C. Intelligent systems in process engineering: a review. Comput Chem Eng, 1996;20 (6–7):743–91; Johnston AB, Maguire LP, McGinnity TM. Using business improvement techniques to inform the optimisation of production cycle time: an industrial case study. Proceedings of the IEEE SMC UK-RI Chapter conference 2004 on intelligent cybernetic systems. September 7–8, 2004 ISSN:1744–9189; Proudlove NC, Vadera S, Kobbacy KAH. Intelligent management systems in operations: A review. J Oper Res Soc, 1998;49(7):682–99] although their implementation is not the first choice of many process engineers. In contrast process engineers in a diverse range of manufacturing environments regularly deploy business improvement techniques, such as the six-sigma methodology. Such techniques aim to control and subsequently identify the relationship between the process inputs and outputs so that a process engineer can more accurately predict how the process output shall perform based on the system inputs. Factors such as cost reduction, automatic process control or simply process prediction may be the defining factors in establishing prediction models.