浅谈交联电缆的接地故障

重点介绍了交联电缆绝缘击穿接地的主要原因——水树枝劣化机理，阐述了降低水树枝劣化速率的主要对策及寻找交联电缆接地故障点的方法。     

铁罐电阻焊机自学习模糊控制系统的设计

本文介绍电阻焊机的一种自学习模糊控制器的设计。系统实现机器较复杂的机械动作的同时，利用带PCL-818HD多功能卡的工业PC实现焊接电流的高速采样与控制，实现较高精度的恒电流控制，保证焊接的质量。焊接电流的控制采用自学习模糊控制算法。     

Using immune genetic algorithm based hybrid techniques for short-term unit commitment problem

This paper presents a hybrid chaos search (CS), immune algorithm (IA)/genetic algorithm (GA), and fuzzy system (FS) method (CIGAFS) for solving short-term thermal generating unit commitment (UC) problems. The UC problem involves determining the start-up and shut-down schedules for generating units to meet the forecasted demand at the minimum cost. The commitment schedule must satisfy other constraints such as the generating limits per unit, reserve, and individual units. First, we combined the IA and GA, then we added the CS and the FS approach. This hybrid system was then used to solve the UC problems. Numerical simulations were carried out using three cases: 10, 20, and 30 thermal unit power systems over a 24 h period. The produced schedule was compared with several other methods, such as dynamic programming (DP), Lagrangian relaxation (LR), standard genetic algorithm (SGA), traditional simulated annealing (TSA), and traditional Tabu search (TTS). A comparison with an immune genetic algorithm (IGA) combined with the CS and FS was carried out. The results show that the CS and FS all make substantial contributions to the IGA. The result demonstrated the accuracy of the proposed CIGAFS approach.     

基于模糊C均值聚类的织物平整度等级评定

采用模糊C均值聚类客观评定织物平整度等级。首先介绍了模糊C均值聚类的基本方法和思路，模糊聚类可以将输入特征值进行聚类并分组；然后利用模糊C均值聚类对输入特征值进行聚类分析，不同平整度等级的织物模板被分属于不同的模糊聚类中心；最后选取26种不同类型的织物样本进行测试，试验结果表明，客观评价与主观评价的相关系数达到97．38％，评定准确率超过90％。     

基于抽象语法树的代码味道识别工具的分析与设计

介绍了如何利用面向对象软件度量方法来识别代码味道,同时提出了以抽象语法树为中间表示形式来设计面向自动化重构的代码味道识别工具,并介绍了该识别工具各个模块的功能与特点.     

绿化树种对大气氯、氟污染物的吸滞能力

植物叶片内大气污染物含量既可反映大气污染的水平又可反映植物对大气污染的修复吸滞能力.研究结果表明：绿化树种对大气污染具有很强的吸滞能力,并依污染气体和树种的不同具有明显差异.吸滞大气氯污染能力强的有：榆树、京桃、枫杨、皂角、卫矛、美青杨、桂香柳;吸滞大气氟污染能力强的有：榆树、花曲柳、刺槐、旱柳。     

Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front

In a real construction project, the duration and cost of each activity could change dynamically as a result of many uncertain variables, such as weather, resource availability, productivity, etc. Managers/planners must take these uncertainties into account and provide an optimal balance of time and cost based on their own experience and knowledge. In this paper, fuzzy sets theory is applied to model the managers’ behavior in predicting time and cost pertinent to a specific option within an activity. Genetic algorithms are used as a searching mechanism to establish the optimal time–cost profiles under different risk levels. In addition, the nonreplaceable front concept is proposed to assist managers in recognizing promising solutions from numerous candidates on the Pareto front. Economic analysis skills, such as the utility theory and opportunity cost, are integrated into the new model to mimic the decision making process of human experts. A simple case study is used for testing the new model developed. In comparison with the previous models, the new model provides managers with greater flexibility to analyze their decisions in a more realistic manner. The results also indicate that greater robustness may be achieved by taking some risks. This research is relevant to both industry practitioners and researchers. By incorporating the concept of fuzzy sets, managers can represent the range of possible time–cost values as well as their associated degree of belief. The model presented in this paper can, therefore, support decision makers in analyzing their time–cost optimization decision in a more flexible and realistic manner. Many novel ideas have also been incorporated in this paper to benefit the research community. Examples of these include the use of fuzzy sets theory, nonreplaceable front concept, utility theory, opportunity cost, etc. With suitable modifications, these concepts can be applied to model to other similar optimization problems in construction.     

船用核动力SGTR事故安全分析

本文论述了船用核动力装置蒸汽发生器传热管断裂事故（SGTR）安全分析的重要性。并以陆奥号核动力商船为例，运用事件树分析技术，对SGTR事故进行了安全分析。得出了事故后可能导致堆芯熔化的事故序列，确定了堆芯熔化数学模型，并进行了定量化分析。最后根据对支配性事故序列和各题头事件重要度的分析，提出了降低SGTR事故导致堆芯熔化发生概率应采取的相应措施。     

A fuzzy data envelopment analysis approach for FMEA

We present a data envelopment analysis approach for determining ranking indices among failure modes in which the typical FMEA parameters are modeled as fuzzy sets. By this approach, inference rules of the IF THEN kind can be bypassed. The proposed approach is applied to a typical PWR auxiliary feedwater system. The results are compared to those obtained by means of: the risk priority numbers, pure fuzzy logic concepts, and finally the DEA-APGF (profiling of severity efficiency) approach. The results demonstrate the potential of the combination of fuzzy logic concepts and data envelopment analysis for this class of problems.     

船舶冷库单片机变频控制节能装置

根据世界能源现状,针对制冷循环的特点和船舶冷库制冷环境的特殊性,本文设计了一套通过单片机实现变频式能量调节的节能装置,并通过实验证明了将其应用于实际生产中的可行性.