散装水泥车卸料管道内部运动分析

基于CFD软件Fluent和气固二相流理论,以散装水泥车卸料管道为研究对象,建立二维模型,对补气速度、2管直径比和2管道交角可能对管内流动产生的影响进行仿真计算,观察水泥相的体积分布情况,分析各因素的影响结果     

基于历史误差模型和局域临域校正的预测融合算法

针对预测模型的精度随机性较大,一些数据存在残缺和不确定性,需要融合多模型的组合体来减少预测误差的问题,提出了使用改进模糊RBF神经网络(FRNN)的误差模型的“局域临域校正”的组合体预测融合方法:通过预处理的FRNN误差模型来表征每个预测模型的实时性能,在预测时,利用误差模型,使用基于权值和偏好的融合作为预测模型组合体的聚合方法,将多个预测模型在线融合并给出最终预测结果.该方法将较大的权重赋予局部性能较优的预测模型,同时消除预测偏好的影响,并在预测前预处理所需误差模型.应用结果表明,构建的预测模型其预测精度相比单一预测模型有明显优势,且具有良好的在线预测实时性,具有推广和应用的价值.     

非同步量测特性的惯性/星光/卫星组合算法研究

多传感器组合是提高导航系统定位精度和增强系统容错性的有效手段.在分析惯性、星光、卫星导航工作特性的基础上,提出了基于集中滤波器结构的捷联惯性/星光/卫星信息融合导航方案.针对多传感器信息融合中非等间隔量测特性,设计了时间更新和量测更新分离的异步集中卡尔曼滤波算法,设计了基于外推法的卫星信息补偿算法,有效解决了多传感器非等间隔信息融合问题;针对垂直机动研究了惯性/星光姿态组合模型.仿真结果表明,算法可以有效实现对捷联惯导、星光、卫星导航信息的融合,组合精度提高1倍,具有重要的实际应用价值.     

Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression

The currently prevalent machine performance degradation assessment techniques involve estimating a machine’s current condition based upon the recognition of indications of failure features,which entail complete data collected in different conditions.However,failure data are always hard to acquire,thus making those techniques hard to be applied.In this paper,a novel method which does not need failure history data is introduced.Wavelet packet decomposition(WPD) is used to extract features from raw signals,principal component analysis(PCA) is utilized to reduce feature dimensions,and Gaussian mixture model(GMM) is then applied to approximate the feature space distributions.Single-channel confidence value(SCV) is calculated by the overlap between GMM of the monitoring condition and that of the normal condition,which can indicate the performance of single-channel.Furthermore,multi-channel confidence value(MCV),which can be deemed as the overall performance index of multi-channel,is calculated via logistic regression(LR) and that the task of decision-level sensor fusion is also completed.Both SCV and MCV can serve as the basis on which proactive maintenance measures can be taken,thus preventing machine breakdown.The method has been adopted to assess the performance of the turbine of a centrifugal compressor in a factory of Petro-China,and the result shows that it can effectively complete this task.The proposed method has engineering significance for machine performance degradation assessment.     

黏性液体三次雾化的试验研究

对黏性液体进行了超音速二次雾化和基于撞击流技术的三次雾化试验,并对三次雾化的影响因素进行了分析。分析结果表明：随着进气压力和压缩空气流量增大,油雾颗粒粒径变小;随着进气压力增大,油雾浓度逐渐变小;随着韦伯数增大,粒径变化率变小。当韦伯数小于5．376时,粒径变化率大于零;当韦伯数大于5．376时,粒径变化率小于零;当韦伯数为22．81时,油雾颗粒粒径变化率绝对值最大,且喷嘴喉口直径为影响粒径变化率大小的主要因素。     

采用双流法溶出处理我国—水硬铝石矿的可行性

从我国铝土矿以－水硬铝石矿为主的特点,分析铝土矿的化学成分、矿物以及硅、钛等矿物在溶出加热过程的行为。本文以中州铝厂选矿拜耳法为例,论述－水硬铝石矿采用“双流法”溶出工艺技术上的可行性及经济上的合理性。     

纳米晶Ni-Ag合金高温氧化行为研究

球磨80～200h的Ni-Ag合金粉末经热压烧结后获得了晶粒尺寸小于50nm的Ni-50Ag纳米晶块体材料,经热处理后其晶粒长大约至100nm.在600℃的高温氧化时,合金呈现出不同的氧化膜结构及氧化增重速率.MA80hNi-50Ag和MA200hNi-50Ag合金在600℃空气氧化时均未形成选择性的外氧化膜,而形成了非平衡态复杂内氧化结构.热处理前,合金的氧化行为受晶粒尺寸以及合金内部缺陷,内应力等诸多因素的影响,导致MA80h和200h合金不同时间合金氧化速率常数相差较大.而经热处理后,主要是晶粒尺寸影响合金的氧化行为.     

A study of fusion zone microstructures of arc-welded joints made from dissimilar aluminum alloys

Arc welding has proven itself to be an economically affordable and efficient method for the joining of a wide variety of aluminum alloy structures that find extensive use in the industries of ground transportation and building construction. Welded joints, having a “T” configuration, in dissimilar aluminum alloys were produced using the semiautomatic arc welding process. In this study, a combination of a non-heat-treatable aluminum-magnesium alloy and a heat-treatable aluminum-magnesium-silicon alloy was successfully welded. Optical microscopy was used to characterize the fusion zone microstructures of the fillet-welded T joints. The intrinsic microstructural features and the development and presence of defects are highlighted.     

Online monitoring of transit-time ultrasonic flowmeters based on fusion of optical observation

It is well-known that transit-time ultrasonic flowmeters (TTUF) are unsuitable for bubble-contained flows. This paper presents a new online monitoring method based on optical observation, which monitors the functionality of the TTUF in the presence of bubbles in the fluid. The method avoids the unnecessary Emergency Shutdowns (ESD) due to bubble presence in the fluid by bubble detection. The proposed method accomplishes bubble identification through a combination of image processing and wavelet analysis. In addition, a new method is proposed which estimates single bubble size in horizontal pipes using a data fusion approach.     

多共振分量融合CNN的行星齿轮箱故障诊断

针对行星齿轮箱中各部件所激起的振动成分混叠、早期故障特征经常被较强的各级齿轮谐波成分以及环境噪声所湮没的问题,提出一种多共振分量融合卷积神经网络（multi-resonance component fusion based convolutional neural network,简称MRCF-CNN）的行星齿轮箱故障诊断方法。首先,对振动信号进行共振稀疏分解,得到包含齿轮谐波成分的高共振分量和可能包含轴承故障冲击成分的低共振分量;其次,构建多共振分量融合卷积神经网络,将得到的高、低共振分量和原始振动信号进行自适应的特征级融合,通过有监督的方式训练模型并进行行星齿轮箱故障诊断。对行星齿轮箱实验数据的分析结果表明,该方法能够有效分类行星齿轮箱中滚动轴承和齿轮的故障,成功对行星齿轮箱故障进行诊断,同时能够进一步增强卷积神经网络对振动信号所蕴含的故障信息的辨识能力。