Research on shafting alignment considering ship hull deformations

Ship hull deformation is one of the most significant influences on propulsion shafting alignment. Based on the calculation fundamentals of ship hull deformations, a new method of shafting alignment considering ship hull deformations is proposed in this paper. Ship loadings, wave loads and environment temperature differences in some extreme conditions, as well as elastic constraints, are simulated and applied to the finite element model of 76,000 DWT product oil tanker, so that ship hull deformations can be solved. Then, the deformations of the double bottom are converted to bearing offsets, which behave as boundary constraints for shafting alignment calculations. Taking the condition of light ship in calm water as a reference, the impact of hull deformations on shafting alignment is analyzed and optimized shafting alignment considering ship hull deformations is realized.     

大型自卸船船体振动研究

近年来，由于船体产生有害振动而导致延误交船事件时有发生，因此振动的予报已放到船舶设计部门的议事日程上来。本文着重介绍了大型自卸船在不同的设计阶段的船体振动予报与控制，评判标准是采用ISO6954的标准，相信文中的结论对今后设计同型船的设计将是有益的。     

用四表法分析离心泵的常见故障

本文介绍了利用压力表、真空表、流量表、功率表(电流表)读数的变化来分析和判断离心泵是否发生故障以及故障发生的可能原因及位置。     

夹芯复合材料在潜艇声隐身结构中的应用及其相关技术研究

潜艇的声隐身问题一直是研究的热点,各种新的声学材料和结构不断涌现。首先对复合材料在潜艇声隐身结构中的应用情况进行了分析,对其材料、结构形式、作用效果等方面进行了详细阐述,提出了夹芯吸声复合材料作为水下声隐身结构的发展趋势。然后利用数值计算的方法,对夹芯复合材料的声学性能进行了分析,得到了夹芯复合材料各层材料参数,如厚度、声特性阻抗和损耗等对声学性能的影响规律。最后,评估了典型局部结构壳板应用夹芯复合材料后的力学性能和声隐身性能。结果表明,潜艇非耐压结构的壳板采用夹芯复合材料可以满足结构的力学要求,与钢结构相比声隐身能力得到提高。     

浅谈降低箱管成本的途径（1）

一个大型集装箱班轮公司每年箱管成本高达几亿美元,在运输经营成本中占很大比重.因此,降低箱管成本始终是集装箱管理工作的重点.本文就若干具体问题探讨降低箱管成本的途径.     

Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks

All kinds of reasons are analysed in theory and a fault repository combined with local expert experiences is establishedaccording to the structure and the operation characteristic of steam generator in this paper. At the same time, Kohonen algo-rithm is used for fault diagnoses system based on fuzzy neural networks. Fuzzy arithmetic is inducted into neural networks tosolve uncertain diagnosis induced by uncertain knowledge. According to its self-association in the course of default diagnosis. thesystem is provided with non-supervise, self-organizing, self-learning, and has strong cluster ability and fast cluster velocity.     

Selection Method of Multi-Objective Problems Using Genetic Algorithm in Motion Plan of AUV

To research the effect of the selection method of multi-objects genetic algorithm problem on optimizing result, thismethod is analyzed theoretically and discussed by using an autonomous underwater vehicle(AUV) as an object. A changingweight vtlue method is put forward and a selection formula is modified. Some experiments were implemented on an AUV.TwinBurger. The results shows that this method is effective and feasible.     

RBF神经网络在柴油机燃油系统故障诊断中的应用研究

本文主要介绍了径向基（RBF）神经网络在柴油机燃油系统故障诊断中的应用,并且首次将神经网络和虚拟仪器技术相结合,成功用于柴油机故障诊断中。比较了RBF和误差反传（BP）神经网络的学习速度和诊断精度。研究表明,将RBF神经网络和虚拟仪器相结合进行柴油机故障诊断具有良好的诊断效果和精度,有很好的工程应用前景。     

核测井中NaI(Tl)闪烁探测器性能探讨

NaI(Tl)闪烁探测器由于具有较高的探测效率,价格也比较便宜,被广泛地应用于国防工业和国民经济建设中,本文介绍了石油测井中所用到的NaI(Tl)闪烁探测器。利用我们的多道分析器(ORTEC918A),对组装好的NaI(Tl)探测器的性能作了测试,分析了影响探测器性能的因素,为探测器的选型、定型提供了实验方法。     

国产数采卡在LabVIEW下的几种驱动方法

介绍了在虚拟仪器软件开发平台LabVIEW下,利用国产数据采集卡进行数据采集时常用的几种驱动方法的应用与比较,并在柴油机运行状态监测系统中进行了实际应用。