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In order to overcome the technological difficulties encountered in the course of insulation fault diagnosis on the base of dissolved gases analysis, several kinds of mathematic models and actualized methods are brought forward to improve the reliability and veracity of fault diagnosis of transformers. The research works are shown mainly as followings:1 A modified fuzzy multi-criteria method is brought forward for insulation fault diagnosis of transformer. Furthermore, a new method for insulation fault diagnosis is proposed on the base of fuzzy multi-criteria together with rule reasoning. With fuzzy diagnosis in the method, fault reasons are filtrated and then the reasons in low probability are prohibited, Moreover, the left reasons are testified by using rule reasoning and then final concludes are drawn in much less misjudge probability and better results.2 On the base of geometry characteristics of C- partition to sample set of DGA data of transformer, a method is put forward to compute effective radius of neighbor field of a sample, number of clusters and values of initial centers. Moreover, the fuzzy C- means cluster model with adaptive weight is brought forward in the first time and then the fault classifier is designed for insulation fault diagnosis of transformer.3 According to the weakness of the degree of gray of gray incidence, a new formula to compute DGI is put forward and then incidence order criterion is ascertained. Moreover, a new DGI model for fault diagnosis is proposed according to the further analysis to relationship between fault reason and content of oil dissolved gases of transformer.

为解决在应用油中溶解气体分析方法(Dissolved Gases Analysis,简称DGA)诊断变压器内部绝缘故障时所遇到的主要技术难题,论文提出了用于提高变压器故障诊断准确性和可靠性的数学模型及实现方法,主要研究工作如下:1)提出了一种改进的变压器绝缘故障诊断模糊综合评判方法;进一步提出了将模糊综合诊断与规则推理相结合进行绝缘故障诊断的方法,该方法采用模糊推理对故障原因进行"过滤",滤掉可能性极小的原因,然后进一步利用规则推理验证剩下的可能原因,得出最终结论,大大减少了误判比率,获得了较好的效果。2)根据以变压器DGA数据为特征量的样本空间的c-划分几何特性出发,提出了一种求取样本有效邻域半径和聚类数及聚类中心初值的方法,在此基础上,首次提出了一种自适应加权的变压器绝缘故障诊断的模糊c-均值聚类模型,并设计出故障分类器。3)针对常用灰色关联度的不足,提出了一新的灰色关联度计算公式及确定关联序的准则;并在此基础上,通过深入分析变压器发生绝缘故障时的原因与油中溶解特征气体含量的关系,建立了一种新的故障诊断灰色关联模型;通过实例分析证明,该方法能有效地诊断出变压器绝缘故障及故障部位,大大提高了诊断的准确性。

Uncertain temporal relations can be represented and reasoned by IA. IA has strong expressive ability in tense, and it can represent all natural temporal relations. At the same time, temporal relation represented by IA is highly visual and comprehensive. In additional, IA has been extended from one-dimension temporal area to two-dimension spatial area, that is to say, interval algebra can be developed to rectangle algebra for two-dimension reasoning.

用区间代数能表示不确定的时态关系,可以很方便地用于时态推理,表达能力强;时态关系的区间表示比较直观,可理解性强;同时区间代数可以进一步扩展到二维空间领域,即将区间代数拓展为矩阵代数,实现二维空间推理。

In studying English, the following basic logic laws should be mastered: Syllogism, Deductive Reasoning, Law of Identity, Law of Contradiction, Law of Excluded Middle, Law of Sufficient Reason. One should avoid making the following logic errors: four terms, the undistributed middle term, looking on one-sidedne...

在英语学习中,要掌握最基本的逻辑规律:三段论;演绎推理;归纳推理;同一律;矛盾律;排中律和充分理由律,就能避免犯以下逻辑错误:四名词;中项不周延;以偏概全;偷换概念;自相矛盾;两不可;虚假理由。

Rule reasoning﹑fuzzy decision and information fusion algorithm are merged, and the step fault diagnosis method is accomplished; For different object, when necessary knowledge is given, a special fault diagnosis system will be automat...

将规则推理﹑模糊决策﹑多传感器信息融合算法融为一体,形成阶梯式故障推理机制。对不同的诊断对象,只要进行建模和设置好必要知识模块,就可自行生成专用故障诊断系统,并能自动输出诊断结果。

Rule reasoning﹑fuzzy decision and information fusion algorithm are merged, and the step fault diagnosis method is accomplished; For different object, when necessary knowledge is given, a special fault diagnosis system will be automatically produced, and the diagnosis result will be given.

将规则推理﹑模糊决策﹑多传感器信息融合算法融为一体,形成一阶梯式故障推理机制;对不同的诊断对象,只要设置好必要知识模块,就可自行生成一专用故障诊断系统,并能自动输出诊断结果。

This paper presents a N-R method of acquiring multi-level reasoning production rules automatically based on NN, so as to resolve the bottle neckproblem in building a knowledge - based system-knowledge acquisition. This methodadopts a characteristic NN structure model and corresponding learning algorithm, so thatN -R method can fix the number of hidden nodes dynamically and form new conceptswhich are not defined in the sample set in the course of learning. Having been trained, NNis transforme...

本文为解决知识系统构造过程中的瓶颈问题──知识获取,提出了一种基于神经网络NN的自动获取多级推理产生式规则的N-R方法,该方法采用了特有的NN结构模型和相应的学习算法,使得NN在学习过程中动态确定隐层节点数的同时,也产生了样例集中没有定义的新概念,学习后的NN能用本文提出的转换算法转换成推理网络,最终方便地得到产生式规则集

This information, together with the actual train movement information, is provided for the CADES (Computer Aided Dispatching Expert System) to process for solution.

在建造CADES时,根据列车调度领域知识的特点,将列调领域知识分为元级知识和领域知识,建立了层次型的知识库,将CADES的推理机设计为三级控制结构,使CADES成为一个动态的多级产生式专家系统,能够根据TMSS的信息变化自动地选择规则集和推理控制策略,问题的求解过程也能自适应于实际情况的变化,使其与列车调度员进行运行调整的复杂,灵活的思维过程更为接近。

An automatic update system based on semantic web techniques to implement the drug-law checking automatically is proposed in this thesis. The design concept is to use OWL as the knowledge model. To represent the drug law knowledge, we view a drug law as a class of medical status, and we can use classification to implement the decision of drug use legality. This approach simplifies the design of inference engine. The OWL supports the syntax of class inherences, so it can reach the cognitive economy and shorten the drug laws encoding length. The OWL syntax can represent most drug laws style, so the system can just use one document and one inference engine to handle all drug laws rules.

本文导入语意网技术提出一法规检核同步化系统,来实现药品检核规则自动更新的功能,其主要设计理念为以语意网的OWL模型来实作法规检核系统,在法规的知识表徵上,系统将所有的药品规则视为医疗状态的类别,因此判别用药的合法性,便可使用分类运算达成,这简化了推理机的设计;利用OWL支援类别继承的语意,故能形成认知经济性效应,缩小医疗法规机器编码长度;最后OWL的语法能表示大部份规则型态,使得系统可以使用一个文件档,一种推理机模型便能表示所有的法规。

Formal Theory of context can be used in many areas of AI: Using the formal notion of context in representation and reasoning not only embodies context-dependency of knowledge, but also make representations simpler. Since the reasoning process can be localized, the efficiency and openness of systems are both improved. In Natural Language Understanding systems, formal theories of context provide a framework for representing ambiguity and make the process of disambiguating easier.

形式化的context概念可以用于AI的许多领域:在知识表示和推理中使用形式化的context概念,不仅能体现知识对context的依赖性;而且表示结果简洁,可以局部化推理过程,提高系统效率,建立开放的AI系统;context形式理论为语言歧义性的表示提供了一个形式框架并使消歧过程更方便;context决定了中肯性标准,从而有望改善智能信息检索系统的性能。

Marxism deems that though induction is not an inexorable inference and the authenticity of its prem...

马克思主义认为,归纳虽然不是一种必然性的推理,它的前提的真实不能保证它的结论必然真实,但这并不等于说,归纳推理就是一种毫无根据的推理。

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