Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net

Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed. Semantic net to represent expert knowledge of rotary machinery fault diagnosis is explored. Its realizing method is afforded in computer language, in addition, demostrating model is also developed in Visual C++. The result shows good validity of the knowledge representation.     

实用型荔枝虫害诊断专家系统设计方法研究 实用型荔枝虫害诊断专家系统设计方法研究

针对大型检索表为表示的专家知识体系，研究提出了一套可重用的、实用性强的系统设计方法，建立了荔枝虫害诊断专家系统（LDS）。经生产示范应用表明：实现了人机操作界面直观、明了，降低了客户端的专业要求，提高了系统的实用性。还对系统所构造的人机界面、知识存储结构设计和控制策略给出实践示例。     

实用型荔枝虫害诊断专家系统设计方法研究

针对大型检索表为表示的专家知识体系,研究提出了一套可重用的、实用性强的系统设计方法,建立了荔枝虫害诊断专家系统(LDS)。经生产示范应用表明:实现了人机操作界面直观、明了,降低了客户端的专业要求,提高了系统的实用性。还对系统所构造的人机界面、知识存储结构设计和控制策略给出实践示例。     

农业专家系统开发平台的研究现状及发展趋势

在中国，特殊的国情造成农业专家一般对计算机及其相关技术十分陌生，知识工程师对于农业知识知之更少，使得开发农业专家系统十分困难。专家系统开发平台的出现，使这个问题得到了缓解。农业专家无需掌握过多的编程知识就能建造性能良好的专家系统，而知识工程师只需研制开发平台，并根据领域使用要求，修改完善平台，无需掌握领域知识，两者相得益彰。在此，综述了近几十年国内外农业专家系统开发平台的研究及应用现状，提出了存在的问题，并介绍了农业专家系统开发平台的发展趋势，为农业专家系统开发平台在中国农业信息化中更好地服务提供参考依据。     

Learning Causality Diagram Structure Based on Genetic Algorithm

The Causality Diagram theory,which adopted graphical expression of knowledge and direct causality intensity of causality,overcomes some shortages in Belief Network and has evolved into a mixed causality diagram methodology coped with discrete and continuous variable.But it is difficult that the structure of Causality Diagram given by expert.Because the complexity of causality diagram structure goes up exponentially through the number of the vertex's increasing,it is NP-hard problem to find the most possible structure from a set of data.The authors discuss approaches and present Genetic Algorithm,to find the most possible structure from a set of data.Experiment shows the method is effective.     

Study on ES Based Generation System Planning

Based on the analysis of expert experience on generation system planning(GPS), the theory of knowledge based method is introduced into GPS to express the constraints of engineering(viz. Expert experience of engineering), and to discard abundant improper program during the earlier stage of GPS. In this situation, the difficulty degree of optimizing calculation in the later stage of GPS is lessened. And then, integrating expert system with production simulation in a method of GPS is proposed and is verified with an example. The results show that the method presented is effective.     

基于知识溢出效应的供应链企业利益协调研究

针对知识溢出时供应链企业间的利益分配问题,引入了供应链成员的参与度和贡献因子等来模拟资源共享或协同创新活动所产生的溢出现象,并提出了包括共享认知、技术差距、经济与空间地理、溢出风险控制和溢出成果补偿等主要驱动因素。综合运用修正Shapley模型和专家打分的方法进行模糊组合决策分析,通过模拟由3个成员组成的供应链企业,计算出每个成员的贡献度和其对知识溢出的效应差异,发现知识共享认知因素和溢出效果的补偿因素对供应链企业整体利益协调有较大的影响。最后指出修正模型的合理性,结果也表明知识溢出的量化是个关键性问题,也亟需相应补偿机制的研究。     

Design and Realize Intelligent Decision Support System of Rocket Safety Control

The problem on rocket safety control is important during the rocket launching proceeding, and is also the focus of every space country. The importance of rocket safety control is introduced, and the characteristics of the existing system are analyzed. Because of the special characteristics, the paper proposes an intelligent decision support system of rocket safety control, adopting the technique of artificial intelligent especially expert system. First, the authors introduce rocket safety control architecture and function. Then, a new method is proposed to represent the knowledge which is integrated with production rule and object-oriented technique. Furthermore, the reasoning is investigated, and decision-making network and uncertainty reasoning model are introduced.     

基于本体推理和数据挖掘的良好农业规范专家系统

针对良好农业规范(good agricultural practices,GAP)标准内容复杂,不易被农业生产者准确使用的问题,将本体推理和数据挖掘技术相结合,构建了良好农业规范专家系统,实现标准知识查询和GAP控制点推荐等功能,更好的帮助生产者理解和使用GAP。系统构建过程中,采用本体知识表示方法构建GAP标准知识库,通过解析“良好农业规范生产和认证信息服务平台”的GAP电子检查表记录,对挖掘过程中涉及的关联规则算法进行分析和改进,挖掘分析了用户对控制点使用的偏好。设计了控制点评价模型,实现了GAP控制点的择优推荐。系统基于MVC模式,设计为3层体系架构。通过测试应用,用户能够准确和容易的使用GAP标准。     

Application of Object-oriented Representation in the Motorcycle Designed Expert System

Knowledge representation is one of the key technologies in the designed expert system.According to the requirement of total design of motorcycle, this paper researches the classificationof knowledgeand experienceof the motorcycle, analyses the points of knowledge representationmethod such as production rule, frameworkand object-oriented and so on, and puts forward the object-oriented knowledge representation method which is combined with abstraction, encapsulationand inheritanceof object-oriented technique. At last the authors realizes the knowledge representation of motorcycle designing under the language environmentof C++ and givesthe knowledge representationexamples of motorcyclebodywork designing.     

Hierarchy Group Decision-making Method of Evaluation of Residential Areas Architecture Design Schemes

For incarnating the effects of the preference of the potential users of residential areas or decision makers on the evaluation of architecture design schemes,a two hierarchy multi-attribute group decision model is established.How to obtain the decision matrix of expert evaluation incarnates the influence of difference of professional knowledge among experts on decision.Multi-attribute decision making method based on uncertain linguistic assessment is used to determine the users' preference on schemes.The weight of attributes is determined by a optimization model that makes the difference of attribute assessment between expert and user minimum,and those weights are used in expert decision.This can enable the model to reflect correctly the actual situation of such decision making question.     

A Vovel Constracture of Combinatorial Knowledge Base for the Expert System of Eletrical Switching

By comparing the techniges of the production and the logic predicate for knowledge representation, this paper presents a kind of constructure of combinatorial knowledge base applied to the expert system for switch operation in electric power system . This constructure of knowledge base to be expanded and revised easily,and it is cinvenitnt to build the general shell of the expert system.     

Using indicators to assess the environmental impacts of wine growing activity: The INDIGO® method

Environmental assessment methods are needed by agronomists working on the enhancement of cropping systems to meet the demand for more sustainable farming practices. A growing number of operational methods based on a set of indicators have been designed, more for arable crops and livestock than for perennial crops like viticulture. Among them, the INDIGO^® method, originally developed for arable crops, offers a compromise between feasibility and predictive quality. Here we present a modified and expanded version of INDIGO^® for viticulture. The development of new indicators specific to viticulture and the adaptation of existing ones followed a five step approach: (i) preliminary definition of the objectives and identification of the end-users, (ii) construction of the indicator, (iii) selection of a reference value, (iv) sensitivity analysis and (v) validation. Stakeholders from professional institutions and winegrower organizations were closely associated with step (i) to define the framework and step (ii) to supply technical databases. We designed INDIGO^® indicators with all available scientific and expert knowledge which was aggregated into expert systems associating fuzzy subsets or, when possible, quantitative equations.Four indicators; pesticides, nitrogen, energy and soil organic matter, were directly adapted from the initial INDIGO^® method, whereas soil cover and frost protection management were new indicators. Potentialities of their use are highlighted by examples of implementation on different scales and for various purposes.     

Study on the Method of Intelligence Fault Diagnosis System for Drill

It is very difficult to simulate the motion process of drill by accurate mathematics model for the complexity and invisibility of stratum. The fault of drill is usually identified and disposed by personal experience so far. This means it can not estimate the trend of the equipment running good or not and the reason conduced the fault or location and degree of fault by data measured. Farther, it can not give the expert suggestions. Based on the studying of drill fault, artificial intelligence and expert system have been used in the petroleum drilling engineering, the theory and method of fault diagnosis intelligence system for drill have been studied. It also constitutes the expert knowledge database of graphic Fuzzy Neural Network for the familiar fault of drill. The intelligence reasoning machine which consists of expert rule, Fuzzy logic and artificial Neural Network have been bring forward. And the fault diagnosis system it makes for drill can be applied in complex system which includes multi-variable, multi-parameter and multi-process.     

Optimize graphics reasoning technlogy and its application on sheep diseases curing expert system

Expert system is a program system that prossesses special knowledge and esperience, is reasoning solving process which simulates experts according to special konwledge and espericence with artificial intelligence. This paper discusses the decision-making technology and method of expert system based diagram reasoning, the optimized diagram reasoning is also pointed out. The development technology and method of sheep diseases curing system is expatiated.     

Intelligent Initiative Security Vehicle System

Auto driving and safe driving constitute a control system which has multiple variables and features of uncertainers and delay response. Anautomobile and its suroundings are considered as a whole and an auto-suroundings feature model is presented based on knowledge expressing method which describles the status appear in the driving process. The constitution of auto driving auxiliary operation expert system is discussed. The computer simulation results show that the proposed knowledge expressing method and sysytem constitution method are effective and feasible .     

基于ES的植被景观多样性评价模型研究

介绍植被景观多样性评价模型的设计思想,然后进行构造其专家系统,该系统采用模块化程序设计技术,分为预处理、综合库、知识库、推理机、知识获取及知识管理和总菜单等6个模块,整个系统在主菜单控制下运行,各模块能独立运行。专家系统程序采用雄风专家系统开发平台VisualXF6.1,GIS由Arc/Info系统支撑。最后以永泰县为应用实例进行研究,创建永泰县植被景观多样性评价专家系统,对全县进行植被景观多样性评价,按景观多样性程度由高到低共评价5个等级,2243.4km2,评价结果与实际情况一致。     

Research of Expert System for High-rise Buildings Foundation Scheme

In this paper, the factors influencing the foundation scheme of high-rise buildings are analyzed. In accordance with the complex hierarchical structure and the uncertainty of foundation scheme, a knowledge base of hierarchical structure is set up and an inexact reasoning is realized. Then, the expert system for high-rise buildings foundation scheme (TBFES) is built on the knowledge base with the expert system tool CLIPS.     

Parsimonious Covering Probability Model for Turbogenerator Vibration Faulty Diagnosis

The turbogenerator vibration faults have the character of variety. Many faults often occur synchronously. This paper introduces a diagnosing model based on parsimonious covering theory and probability. A model for turtogenerator's fault diagnosis is proposed. The availability of this method is proved by two fault diagnosis examples of turbogenerator. The results show that the model proposed can be used for multi_fault diagnosis together. It may make up shortage for some of expert systems and neural networks in some aspect. From the practice,this model has higher reliability and practicability.     

专家系统在果树中的应用及研究进展

专家系统是一种模拟人类专家解决领域问题的计算机系统,它主要分为知识库、综合数据库、推理机、解释器、接口等几部分。现今,国内果树专家系统的应用类型主要分为果树栽培生产专家系统和果树营养、病虫害诊断防治决策系统两类;在果树专家系统上的应用研究最多的计算机理论主要是：人工神经网络、模糊神经网络、多媒体技术、Web技术等;果树专家系统的开发手段主要是利用现成的农业专家系统平台直接进行二次开发,还有少数是直接利用程序语言进行原型系统开发。今后随着信息技术的不断发展,利用果树学的特点结合先进的计算机理论和技术,将开发出动态的、更具智能化的果树专家系统。