A new method of strength calculation and lifetime prediction of pipe bends operating in the creep range

An easy to use method for an approximate creep life prediction for pipe bends was developed within a recent R & D-project in Germany. The new algorithm is based on a Finite-Element parameter study comprising approximately 200 pipe bends. The creep behaviour of the materials primarily used for main steam and hot reheat piping is described using the Graham–Walles creep law. Since the new algorithm considers the time dependent out-of-roundness and stress redistribution of the pipe bend, it yields a more precise creep life prediction, compared to standard piping codes. It is possible to integrate this new calculation into existing online lifetime-monitoring-systems.     

Autonomous tactile perception: A combined improved sensing and Bayesian nonparametric approach

In recent years, autonomous robots have increasingly been deployed in unknown environments and required to manipulate or categorize unknown objects. In order to cope with these unfamiliar situations, improvements must be made both in sensing technologies and in the capability to autonomously train perception models. In this paper, we explore this problem in the context of tactile surface identification and categorization. Using a highly-discriminant tactile probe based upon large bandwidth, triple axis accelerometer that is sensitive to surface texture and material properties, we demonstrate that unsupervised learning for surface identification with this tactile probe is feasible. To this end, we derived a Bayesian nonparametric approach based on Pitman–Yor processes to model power-law distributions, an extension of our previous work using Dirichlet processes Dallaire et al. (2011). When tested against a large collection of surfaces and without providing the actual number of surfaces, the tactile probe combined with our proposed approach demonstrated near-perfect recognition in many cases and achieved perfect recognition given the right conditions. We consider that our combined improvements demonstrate the feasibility of effective autonomous tactile perception systems.     

Catalytic behavior of potassium containing compounds for diesel soot combustion

Alkali doped oxides were synthesized and tested as catalysts for diesel soot combustion using a combinatorial method. It has been found that potassium shows better promotion of the catalytic activity than other alkali elements, and most of the potassium-rich oxides showed similar catalytic behaviors when catalysts and soot were mixed in a slurry. The influence of different mixing methods, including loose contact, tight contact and slurry (wet) mixing with different soot suspensions, on the catalytic behavior of some transition metal oxides, alkali metal carbonates and potassium-containing oxides were studied through thermogravimetry and XRD. The high activity of potassium-containing catalysts is found to be due to the intimate contact between soot and potassium cations caused by polar solvents. Potassium containing catalysts degraded after repeated thermal cycles due to the loss of potassium. It was also found that the addition of transition elements can inhibit the loss of potassium.     

基于自适应Kalman滤波的智能电网假数据注入攻击检测EI北大核心CSCD

研究了一种针对智能电网中假数据注入攻击的有效检测方法.假数据注入攻击可以保持攻击前后残差基本不变,绕过传统的不良数据检测技术.首先基于电网模型,分析了假数据注入攻击的攻击特性,针对噪声统计特性未知且无迹Kalman滤波(Unscented Kalman filter,UKF)不稳定的现象,提出了自适应平方根无迹Kalman滤波改进算法.基于状态估计值,结合中心极限定理提出检测算法,并与欧几里得检测方法、巴氏系数检测方法进行比较.最后,仿真表明本文所提检测算法的优越性.     

基于GT-SUITE的二甲醚共轨柴油机性能研究

基于GT建立了柴油机共轨系统和柴油机模型,在标定转速下,研究了喷油提前角、共轨压力对二甲醚柴油机性能的影响。结果表明,加大喷油提前角和增加共轨压力,均可以改善二甲醚柴油机的经济性和提高其动力输出,但会造成NOx排放的增加。     

基于并行工程的武器装备测试性工作模型分析

针对武器装备常规测试性工作中存在的主要问题,基于系统工程理论的并行工程方法,提出了一种新的测试性工作方法,并建立了基于并行工程的装备测试性工作模型,用以指导测试性工作。通过对模型适用性分析表明,基于并行工程的测试性工作模型各个项目间有主次之分,工作重点突出,模型较为合理。     

基于MWGANN模型的旋转机械趋势预测

为保证旋转机械注水泵机组安全、稳定运行,应采用合适的预测模型对其状态评定参数进行预测。提出基于均值函数新息加权的遗传算法优化神经网络预测模型(MWGANN模型),用此模型能够优化神经网络结构参数,并可利用时间序列数据新旧程度的不同提高预测的精度和实时性。工业现场采集大型旋转注水泵机组振动烈度时间序列数据,应用MWGANN模型和基于人工经验设定神经网络结构参数的模型分别对其进行预测并比较,结果表明MWGANN模型在预测精度、预测实时性方面取得了较好的效果。     

A method for the compound fault diagnosis of gearboxes based on morphological component analysis

An improved morphological component analysis (MCA) method is proposed for the compound fault diagnosis of gearboxes. When gear fault and bearing fault occur simultaneously, the compound fault signal of the gearbox contains meshing components (related to the gear fault) and periodic impulse components (related to the bearing fault). The corresponding fault characteristics can be separated by MCA according to the morphological differences of the components. In the proposed method, the optimal dictionary, which can represent the characteristics of bearing faults, is first selected based on the principle of minimum information entropy. Then, the compound fault signal is decomposed into the meshing component and the periodic impulse component using MCA. Finally, the separated components are subjected to the Hilbert envelope spectrum analysis. The faults of the gear and the bearing can be diagnosed according to the envelope spectra of the separated fault signal components. Simulation and experimental studies validate the effectiveness of the proposed method for the compound fault diagnosis of gearboxes.     

测量船中心机箭载导航定位数据仿真软件

针对测量船中心机无法有效检验验证GPS/GNSS遥测软件的问题,设计一种测量船中心机箭载导航定位数据仿真软件。通过对软件的任务和功能需求分析,在总结测量船现有联调演练方式的基础上,提出了仿真软件的建设目标、部署方式、运行模式以及软件总体架构,并对3个关键技术进行分析。分析结果表明:该软件避免了过去只能在航天器运行时才能检验、验证相应软件是否有缺陷的状况,有利于验证系统软件设计,降低运行成本,也便于后续任务加装新型号接收机的系统联试和测试。     

柴油机颗粒捕集器内颗粒沉积结构的实验研究

基于可视化单通道实验系统,采用激光位移测量方法,对柴油机颗粒在陶瓷捕集器内的沉积过程进行了在线测量.研究结果发现,颗粒沉积过程分为4个阶段:深床期、长树期、搭桥期和颗粒层期;颗粒层厚度的增加在长树期迅速增长,而后在颗粒层期呈缓慢增加的趋势.颗粒层过滤期颗粒层的孔隙结构受过滤速度的影响,过滤速度增大,颗粒层的渗透系数和孔隙率减小,形成的颗粒层致密.实验结果证实了当Pe<1时,渗透系数和孔隙率随Pe的增大而减小,且变化显著;当Pe>1时,渗透系数和孔隙率随Pe数的变化趋于平坦.