天然沸石处理含铅、镉废水的试验研究

天然沸石经改性后对铅、镉有较好的吸附能力，当铅的浓度为2mg／L，沸石用量30g，动态变换3小时，吸附效率达90％以上，吸附容量达5mg／g；当镉的浓度为l00mg／L，沸石用量l0g，动态交换24小时，吸附效率可达99．8％以上。在450℃时处理的沸石吸附效果最佳，改性后的沸石对铜的吸附具有较好的选择性。     

基于接地弹簧及配点法的系统动态特性分析

核电设备和部件的动态特性包括其固有频率和相应模态。对于动态特性受支承条件影响的核电设备,将之简化为带接地弹簧的质量一弹簧系统．并分析接地弹簧刚度的变化对该系统动态特性的影响。在此基础上,从带罚数的有限元配点法出发,推导接地弹簧的有限元等价形式,证明接地弹簧刚度与罚数的等价性,并由此等价性,阐明支承条件在施加设备边界条件过程中所起的作用。     

江汉盆地盐湖碳酸盐岩成藏条件及潜力——以新沟地区新沟嘴组下段Ⅱ油组为例

在物源、古地形、古气候的控制下,江汉盆地新沟嘴组下段Ⅱ油组自北而南发育有砂岩相、泥岩相、碳酸盐岩相、硫酸盐以及氯化盐岩相,盆地中南部斜坡带为碳酸盐岩的主要分布区,具有碳酸盐岩与薄层泥岩频繁互层沉积特征;其中碳酸盐岩晶间孔发育,具有较好的储集条件,泥岩有机质丰度高,具有较好的生烃能力,生储配置关系良好;新沟嘴组下段Ⅱ油组碳酸盐岩成藏条件优越,油气成藏主要受有利烃源岩分布范围、岩性岩相、物性控制,具有烃源岩控藏、岩性物性控富的特征;江汉盆地碳酸盐岩油藏分布广泛,具有较好的勘探开发前景。     

基于容积效率的液压齿轮泵状态监测与故障诊断

阐述了容积效率作为特征信息进行液压齿轮泵状态监测与故障诊断的原理,分析了液压齿轮泵中流量信号以及容积效率与齿轮泵工况之间的关系,指出了容积效率是状态信息的丰富载体,讨论了利用容积效率进行液压齿轮泵状态监测与故障诊断的可行性及方法.     

转炉炼钢氧枪枪位自动控制专家系统的实验室研究

在转炉造渣过程中，渣中FeO的含量直接影响到石灰的溶解速度、造渣途径和炉渣的喷溅、返干，在泡沫渣淹没吹炼状态下，调整氧枪枪位可有效地控制渣中FeO的含量。音平控渣系统，可以给出喷溅、返干的趋势，在此基础上，开发氧枪枪位自动控制专家系统，对喷溅、返干进行预测，采用自学习技术给出枪拉操作提示。此系统为氧枪自动控制奠定了基础。     

装甲车辆柴油机使用期内的振动信号分析

对不同使用期的柴油机进行测试，利用加速度传感器测取了柴油机机体的表面振动信号。经过信号处理，较好地解决了实车测试信噪比差的问题。分析结果表明，柴油机的机体振动信号能够反映柴油机的技术状况，为柴油机的技术状况检测及故障诊断奠定了基础。     

中国铸造行业现状及发展对策

综述中国铸造行业的生产技术现状，包括造型材料，铸造工艺，合金材料及熔炼和计算机的应用，存在问题，经济规模小，铸件综合品质差，技术装备落后，资源消耗大、污染严重，针对这些问题，提出发展中国铸造行业的建议性对策。     

基于CRF和规则相结合的地理命名实体识别方法

为了识别文本中海量的地理命名信息,以CRF(条件随机场)模型识别为基础,加入制定的规则,来提高CRF模型识别的召回率,从而提高整体的地理命名实体识别效果。通过选取适合的地理命名实体识别的特征模板,验证特征的有效性以及分析CRF模型识别结果中的未识别实体样本,设计针对未识别实体的规则用以修正识别结果。实验表明,对地名和组织名结合规则进行修正后的F值达到了91.61%和85.74%,有了显著提高。     

Model-based and Fuzzy Logic Approaches to Condition Monitoring of Operational Wind Turbines

 It is common for wind turbines to be installed in remote locations on land or offshore, leading to difficulties in routine inspection and maintenance. Further, wind turbines in these locations are often subject to harsh operating conditions. These challenges mean there is a requirement for a high degree of maintenance. The data generated by monitoring systems can be used to obtain models of wind turbines operating under different conditions, and hence predict output signals based on known inputs. A model-based condition monitoring system can be implemented by comparing output data obtained from operational turbines with those predicted by the models, so as to detect changes that could be due to the presence of faults. This paper discusses several techniques for model-based condition monitoring systems: linear models, artificial neural networks, and state dependent parameter "pseudo" transfer functions. The models are identified using supervisory control and data acquisition (SCADA) data acquired from an operational wind firm. It is found that the multiple-input single-output state dependent parameter method outperforms both multivariate linear and artificial neural network-based approaches. Subsequently, state dependent parameter models are used to develop adaptive thresholds for critical output signals. In order to provide an early warning of a developing fault, it is necessary to interpret the amount by which the threshold is exceeded, together with the period of time over which this occurs. In this regard, a fuzzy logic-based inference system is proposed and demonstrated to be practically feasible.     

Condition evaluation of existing reinforced concrete bridges using fuzzy based analytic hierarchy approach

There is an urgent need for a systematic methodology for condition assessment of the bridges because the old bridges of most of the countries are inadequate to carry current-day traffic and satisfy the present codal provisions and even in newer bridges, deterioration caused by unforeseen service condition and deferred maintenance is of great concern. In view of this, an attempt has been made in this study to develop a systematic procedure and formulations for condition evaluation of existing bridges using Analytic Hierarchy Process in a fuzzy environment. Analytic Hierarchy Process (AHP) is an efficient decision making tool for complicated problems with multiple evaluation criteria and uncertainty. Fuzzy logic approach has been used to take care of the uncertainties and imprecision in the bridge inspector’s observations. In this paper, first, a methodology has been proposed for condition ranking of number of reinforced concrete (RC) bridges. Then, based on the results obtained from prioritization, rating of the most deserved bridge has been carried out using MADM based fuzzy logic. Computer programs have been developed based on the formulations presented in this paper for evaluating condition of existing bridges and the details are presented in the paper. The methodology and its application are demonstrated through a case study. This methodology would certainly help the engineers and policy makers concerned with bridge management to overcome the problem related to prioritization and decision on funding related to rehabilitation of bridges.