| 1. | In on - line diagnosis , time series analytic approach is used to take delivery of fault symptoms
在绝缘在线诊断中，本文尝试了引入时序分析法提取故障征兆。 |
| 2. | A fault diagnosis method using wavelet analysis to detect signal singularity and extract fault symptom , and then using neural networks to classify is proposed
提出了一种基于小波分析的奇异性检测和故障特征提取，用神经网络进行故障分类的诊断方法。 |
| 3. | Furthermore because fault symptom space and fault space have complicated non - linear relations , the mathematical model of diagnosis system is difficult to get
同时由于故障征兆和故障类型之间常常存在复杂的非线性关系，使得诊断系统的数学模型很难获取。 |
| 4. | Combining of the information fusion with artificial neural networks , various testing information of fault symptoms could be fully used to diagnose the faults of tunnel boring system accurately
摘要将信息融合技术与神经网络结合起来，充分利用检测到的各种故障徵兆信息准确诊断岩石挖掘机系统的故障。 |
| 5. | It mainly aims at the malfunctions of application software , presents some relationship diagrams to illustrate reasons of common background fault symptoms , the model of fault diagnosis nerve network , the nerve network parameters and study samples
重点针对应用软件故障，给出了后台服务中常见的故障征兆原因关系例图、故障诊断神经网络模型、神经网络参数和学习样本。 |
| 6. | Therefore , the basic fault pattern is established by the fault symptom and neural network is trained by the sample or sample composed of the single fault pattern , so that it can discern the reasons and positions of the different faults
鉴于电控系统组成的复杂性，同样的故障征兆具有”一果多因”的特点。因此，以故障征兆为基本模式，采用单故障样本组合的方式对神经网络进行训练，以识别具体的故障原因和部位。 |
| 7. | The second chapter is about the fault symptoms used as the basic knowledge in fault diagnosis field . a new concept of diagnosis parameter is defined in this chapter . the use of parameters is to make the sympotom description standard
第二章对故障诊断知识作了系统分析，定义了诊断参量的概念，并利用诊断参量进行故障征兆的标准化描述，归纳总结了汽轮发电机组故障诊断常用的诊断参量；基于模糊信息处理技术，针对不同类型的征兆建立了模糊子集，从而量化了征兆。 |
| 8. | In order to avoid matching the fault symptoms with the identification conditions artificially , ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system . for the continuous quantitative diagnosis data such as the measurement , and the result of signal processing , a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ) , rough sets theory , and adaptive neuro - fuzzy inference system ( anfis ) was presented . firstly , the continuous attributes in diagnosis decision system were discretized with som or fcm
对于连续的定量故障诊断数据(监测数据) ，以4135柴油机为例，提出了自组织映射( som )模糊c -均值( fcm ) ?粗糙集?自适应模糊神经网络推理系统( anfis )集成的具体故障诊断实施方案：首先，应用som或fcm离散故障诊断数据中的连续属性值；然后，基于粗糙集理论应用遗传算法计算诊断决策系统的约简，按照实际需要确定诊断条件；最后，根据系统约简设计anfis进行故障诊断。 |
| 9. | 3 . present corresponding database representation method for diagnostic knowledge : aimed at knowledge based on decision trees , use the parent node representation adding node state column and fault column to implement the database storage for diagnostic knowledge ; while for knowledge based on cases , the fault symptom matrix is available . 4
诊断知识的表示方面，提出了相应的数据库表示方法：对于基于决策树的知识，用增加状态数据域和结点状态列以及故障列的双亲结点表示法，实现诊断知识的数据库存储：对于基于案例表示的诊断知识，以故障征兆矩阵的形式存入数据库。 |
| 10. | In accordance with the technological difficulties encountered in the process of insulation supervision based on the dissolved gases analysis ( dga ) , several kinds of model and method are presented to improve the reliability and precision of fault diagnosis of the power transformer . main research content includes : by deeply studying the common transformer faults diagnosing methods , such as three - ratio methods and improved electrical committee agreements , several shortcomings such as uncertainness judgment when the fault reasons , phenomenon and principles come out together while can not consistent to each other etc . for this reason , the old methods can not fully meet the need to engineering practical application . considering fuzzy relationship matrix can fully represents the causality between fault symptoms and fault types , when diagnosing complex equipments with multiple symptoms and fault causes such as power transformer , a synthetic fuzzy diagnosing model is firstly proposed to diagnose transformer ' s insulation faults based on dga in this paper
本文针对应用油中溶解气体分析方法进行变压器绝缘监督时所遇到的主要技术难点，提出了提高变压器故障诊断的准确性、可靠性的几种模诊断方法，主要研究内容有：通过对判断变压器故障常用的三比值法和改良电协研法的深入分析，其诊断准确率较高，但对故障原因、故障现象和故障机理间同时存在不确定性和模糊性的变压器等电气设备的故障诊断，难于满足工程应用的需要；在处理变压器等结构复杂设备的多症状、多原因故障诊断时，模糊关系矩阵可以全面反映这种症状与故障类型间的因果关系，进而提出了变压器故障诊断的模糊综合诊断模型；同时作者还深入分析了模糊算子的特性；针对常用的模糊评判结果的模糊集的集化方法的不足性，提出了将模糊综合诊断与模糊规则推理结合起来进行故障诊断的方法，能达到较好的效果。 |
