Temperature rise of He Ⅱ forced flow and its negative Joule-Thomson effect

The temperature rise of He Ⅱ transfer system due to the negative Joule-Thomson(JT)effect is one of the major problems in the He Ⅱ forced flow system design.Negative Joule-Thomson effect of the He Ⅱ forced flow was analyzed and calculated in this paper.The temperature rise due to the heat leak along the transfer pipeline was calculated by the simplified equation and was modified by considering the negative Joule-Thomson effect.The modified results were compared with the temperature rise obtained by non-linear differential equations with consideration of the pressure gradient.The results show that the pressure gradient has strong effect on the temperature distribution.The modified results are in good agreement with the values calculated by the complicated equation,which verifies the effectiveness of the simplified equation in calculating the temperature rise when the negative JT effect of He Ⅱ is known.     

Feasibility analysis for monitoring fatigue crack in hydraulic turbine blades using acoustic emission technique

In order to investigate the feasibility of monitoring the fatigue cracks in turbine blades using acoustic emission (AE) technique, the AE characteristics of fatigue crack growth were studied in the laboratory. And the characteristics were compared with those of background noise received from a real hydraulic turbine unit. It is found that the AE parameters such as the energy and duration can qualitatively describe the fatigue state of the blades. The correlations of crack propagation rates and acoustic emission count rates vs stress intensity factor (SIF) range are also obtained. At the same time, for the specimens of 20SiMn under the given testing conditions, it is noted that the rise time and duration of events emitted from the fatigue process are lower than those from the background noise; amplitude range is 49–74 dB, which is lower than that of the noise (90–99 dB); frequency range of main energy of crack signals is higher than 60 kHz while that in the noise is lower than 55 kHz. Thus, it is possible to extract the useful crack signals from the noise through appropriate signal processing methods and to represent the crack status of blade materials by AE parameters. As a result, it is feasible to monitor the safety of runners using AE technique. Foundation item: Project(50465002) supported by the National Natural Science Foundation of China     

Oil monitoring methods based on information theory

To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of spectrographic analysis can be obtained. By measuring the complexity and correlativity,the characteristics of wear condition of machines can be shown clearly. The diagnostic quality is improved. The analysis processes of these monitoring methods are given through the explanation of examples. The availability of these methods is validated and further research fields are demonstrated.     

地月系共线平动点Halo轨道族的运动稳定性研究

地月系共线平动点附近的Halo轨道族,能够提供从L1点至月球再至L2点的广泛空间的多种轨道应用需要,但2个轨道族内轨道的稳定性差异较大。文章引入稳定系数和线性稳定阶数2个指标来判断轨道的稳定性,并用数值模拟分别分析了百米和千米量级的初始轨道误差在数天后所引起的轨道偏差,得出结论：两轨道族内接近平动点的部分轨道稳定性较差,其余部分轨道稳定性相差不大,L1点附近Halo轨道族内轨道较为稳定的是0.85~0.92之间的轨道,L2点较为稳定的是1.02~1.1之间的轨道。     

企业债务期限结构影响因素的探究

研究债务期限结构有助于深入探讨公司治理与公司价值之间的关系.本文正是基于这一考虑,从代理成本理论、税收理论、信号传递理论、期限匹配理论四个方面入手,运用2007~2008年A股上市公司的数据,讨论了影响中国债务期限结构的因素.发现与西方研究不同的是,由于中国的特殊国情,国有股持股比例对债务期限结构的影响较大,而边际税率却基本无影响.进而提出我国需更好地协调政企关系,放宽税收优惠政策,以扶持非国有上市公司的建议.     

世博后会展休闲功能分析：效应、方法与原则

世博园区后续利用的成功与否已经成为衡量世博会成功与否的重要标准,而2010年上海世博会的主题是“城市,让生活更美好”,世博后市民的适宜休闲生活则是这一主题的又一生动体现。从休闲的意义、效应、开发方法和原则的角度对世博后会展休闲功能的分析不仅是上海都市经济、都市旅游发展的要求,也是确保世博会成功的需要。     

增强金融IC卡复合应用安全的研究

＂一卡多用＂是金融IC卡的重要功能,确保与第三方系统的交易安全无疑是金融IC卡信息安全工作的重要内容。从银行卡与行业应用终端之间的身份认证这一角度,讨论IC卡复合应用面临的安全挑战,并尝试给出一种基于PIN码的身份认证方案。     

A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis

Knowledge management is crucial for construction safety management. Widely collected and well-organized safety-related documents are recognized to be significant in raising the workers' security awareness and then to prevent hazards and accidents. To improve document processing efficiency, automatic information extraction plays an important role. However, currently, automatic information extraction modeling requires large scale training datasets. It is a big challenge for the engineering industry, especially for the fields which heavily rely on the experts’ knowledge. Limited data sources, and high time and labor costs make it not practical to establish a large-scale dataset. This work proposed a natural language data augmentation-based small samples training framework for automatic information extraction modeling. With the designed cross combination-based text data augmentation algorithm, the deep neural network can be employed to build up automatic information extraction models without large-scale raw data and manual annotations. Characters semantic coding is employed to avoid word segmentation and make sure that the framework can be utilized in different writing language systems. The BiLSTM-CRF model is adopted as the detection core to conduct character classification. Through a case study of two independent accident news report datasets analysis, the proposed framework has been validated. A reliable and robust automatic information extraction model can be established, even though with small samples training.     

基于装接容量的负荷预测及其在配电网规划中的应用

根据用户和配电网设备的历史负荷数据,研究了用户装接容量与需用系数之间的关系,基于点、线、面的负荷预测思路,运用需用系数法、业扩工询法等预测方法,更准确地对负荷进行预测,并应用于实际电网规划和设备负荷控制.     

AVO流体反演技术在低孔渗砂岩气藏预测中的应用

西湖凹陷A构造的砂岩气藏,主要埋藏于3000m以下的深层,且发育于浅水沉积环境,储层物性较致密,厚度横向变化大,导致储层的AVO响应复杂,常规AVO分析难以对储层流体进行有效识别。研究了AVO流体反演技术在该构造含气储层预测中的应用。该技术在对储层以及非储层速度、密度、厚度等关键参数的统计分析的基础上,利用Monte－Carlo随机模型建立、地震正演模拟、流体替换等技术,获得储层在不同流体下AVO响应的验前概率;然后利用Bayes理论,估算实际地震数据AVO响应指示储层含某种流体的可能性一验后概率,从而实现储层流体的预测。实际钻探结果证实了该方法的有效性。