基于小波包降噪和Hilbert谱奇异值的滚动轴承故障诊断

Hilbert谱奇异值是对振动信号进行Hilbert-Huang变换得到Hilbert谱时频矩阵后,再利用奇异值分解的方法提取矩阵的特征得到的,但对噪声比较敏感。为了消除随机噪声和局部强干扰对特征提取的影响,先利用小波包降嗓,得到振动信号的谱奇异值作为故障特征,并选用SVM来诊断故障类型。试验结果表明,该方法能有效地应用于滚动轴承故障的识别。     

初始几何缺陷对非强支撑钢框架柱性能的影响

在钢框架二阶弹性分析中,结构整体初始几何缺陷和构件的初始几何缺陷是实际存在的,其影响不应忽略。基于由单根柱和梁组成的框架子结构模型,通过引入以上两种几何缺陷,得出了考虑初始几何缺陷影响的框架柱位移与内力的理论公式。利用该理论模型,可以较准确地分析框架结构整体几何缺陷与构件几何缺陷对二阶弹性弯矩的影响。参数分析结果表明:对于钢框架柱,结构的整体几何缺陷和构件几何缺陷对弯矩的影响均可以等效为作用于楼层处的假想水平力,而假想水平力的大小与作用于该楼层的竖向荷载有关。     

供电企业风险指标体系及多级风险评估模型

市场环境下供电企业面临着各种各样的风险,风险需要进行量化分析,以便在此基础上进行有效的风险规避,这方面的研究工作在我国刚刚开始。本文针对供电企业的各种风险源,建立了一套风险分析指标体系。在此基础上,利用层次分析法与灰色理论构造了多级评估模型,以实现对供电企业各种风险的综合评价。通过算例分析,表明该方法对供电企业的风险评价具有较好的适用性。     

沥青路面纵缝深度灌缝方法及施工工艺

提出了沥青路面纵缝深度灌缝的方法及工艺,以彻底根治纵向裂缝.首先研究了满足深度灌缝要求的水泥砂浆配合比,其次通过试验路的现场灌缝工艺研究,确定了包括灌缝时机选择、裂缝预处理、钻芯布孔、埋置封堵管、灌浆和养生等关键环节的工艺流程.试验结果表明:配制的水泥砂浆具有很高的流动性和早期强度,灌缝方法可以将砂浆灌入裂缝处路面的基...     

单因素对微胶囊制备的影响研究

采用复相乳化法制备微胶囊,制备过程中一种条件变化而其他条件不变,对微胶囊的粒径会有不同的影响.实验结果表明,以司苯80为乳化剂,在乳化剂的用量为4%、中间相用量为1∶7、速度为1500~1800 r/min时,制得的微胶囊的粒度、均匀度和相对数量都较好.     

抑制配电网谐波影响的新型相位检测方案

相位检测是配电网运行维护中的一项基础工作,其结果的准确性受电网谐波影响极大。未来配电网中可再生分布式电源的高比例接入,将会为配电网带来大量的谐波污染。为保证相位检测的准确性和可靠性,同时适应未来配电网的发展要求,提出一种能够抑制配电网谐波影响的新型相位检测方案。该方案借助自适应陷波滤波器搭建了预滤波单元,有效抑制了配电网中的电网谐波,通过传统的锁相环实现电网相位的检测。利用仿真实验验证了该方案的可行性。     

电力市场中市场势力的影响分析

市场势力是对电力供应稀缺程度的反映。由于电力生产自身的特殊性,使得市场势力在电力市场中的作用程度不仅受市场结构、市场规则等经济因素影响,同时也受电力系统技术特性的限制。通过最优潮流OPF(Optimal Power Flow)建立市场模型,对不同的输电线路传输容量限制、负荷水平和策略报价等几个方面对市场势力的作用情况作了研究,并提出了一些相应的控制措施。     

数据广播传输协议与MHP

分析了数据广播传输协议数据轮播与对象轮播技术的差异,以及与MHP中间件之间的关系,提出了选择传输协议和实现的建议。     

Improving Nonlocal Means Method via a No-reference Image Content Metric for MRI Denoising

The patch matching of the traditional Nonlocal means （NLM） filter mainly depends on structure similarity and cannot adapt to the patch rotation or mirroring transformation. Therefore, designing a measure with rorationally invariant similarity is of significant importance for improving the effectiveness of patch comparison of NLM. This paper proposes to apply a no-reference image content metric with the rotation-invariance to NLM for denoising Magnetic resonance （MR） images. The metric measures quantitatively the content of a patch in an image, including sharpness, contrast, and geometric features such as textures and edges. The metric values for every patch are computed and added into the Gaussian matching kernel of NLM so as to effectively perform patch matching. The main advantage of the proposed method is that it does not need to rotate patches in different orientations during patch matching. Experimental results show that the proposed method is superior to the traditional NLM, the state-of-the-art method Block-matching and 3- D （BM3D） filtering and the Unbiased NLM （UNLM） for MRI denoislng.     

A Location Privacy Preserving Solution to Resist Passive and Active Attacks in VANET

Existing location privacy- preserving methods, without a trusted third party, cannot resist conspiracy attacks and active attacks. This paper proposes a novel solution for location based service （LBS） in vehicular ad hoc network （VANET）. Firstly, the relationship among anonymity degree, expected company area and vehicle density is discussed. Then, a companion set F is set up by k neighbor vehicles. Based on secure multi-party computation, each vehicle in V can compute the centroid, not revealing its location to each other. The centroid as a cloaking location is sent to LBS provider （P） and P returns a point of interest （POI）. Due to a distributed secret sharing structure, P cannot obtain the positions of non-complicity vehicles by colluding with multiple internal vehicles. To detect fake data from dishonest vehicles, zero knowledge proof is adopted. Comparing with other related methods, our solution can resist passive and active attacks from internal and external nodes. It provides strong privacy protection for LBS in VANET.