| 1. | Research on fault fuzzy diagnosis based on neural network
基于神经网络的故障模糊诊断研究 |
| 2. | Application of approximation value to revise diagnosis matrix in fuzzy diagnosis process
贴近度对模糊诊断矩阵的实时修正应用研究 |
| 3. | The major contents of the paper were as follows : 1 fuzzy method for the fault diagnosis was researched . the fuzzy diagnosis model and the multiple - layer fuzzy model based on threshold and maximum rules for fuzzy diagnosis were built
工作的主要内容有： 1 、研究了故障的模糊诊断方法，以阈值和最大隶属度为判断准则构建了模糊综合诊断模型和模糊分层诊断模型，对故障信号进行诊断。 |
| 4. | This paper introduces a fuzzy diagnosis technology based on multi - sensors integration and multi - information fusion . the technology monitors circumstance and the state of equipment , so it can overcome the disperseness of sensors , advance reliability of alarm and reduce distorting rate
提出了基于多传感器集成和信息融合并行处理的fuzzy诊断方法，对环境和设备状态进行监控，有效地克服了传感器本身离散性大的特点。 |
| 5. | By utilizing self - diagnosis method and diagnosis method based on dt , it become more convenience for fault orientation . considering about fuzzy relation between fault cause and symptom , commix fuzzy diagnosis module was set up by means of fuzzy synthesize judge
将诊断树应用于电喷发动机故障诊断专家系统可以优化搜索过程，实现对故障起因的最佳搜索。采用模糊综合评判的方法进行模糊推理，有效地解决了故障原因与征兆之间不确定性问题。 |
| 6. | According to the topology of the substation and resistance measurements of down - leaders , the erosion diagnosis equation is built and the resistance variations of grounding grid branches are solved , and the erosion of grounding grid could be found through the fuzzy diagnosis regulation
利用接地网拓扑结构图及接地网引下线间的电阻测量值,建立腐蚀诊断方程,通过求解诊断方程,计算出接地网支路电阻值变化量,采用模糊诊断方法判断出接地网导体腐蚀的情况。 |
| 7. | This article based on demand of production specially of that operator of production can master a little knowledge just to use it , research theory of artificial intelligence , motor fault mechanism and fault forms jooking for junction between artificial and motor fault diagnosis . further research expert system of motor fault diagnosis based on framewprk theory , seeking after motor fuzzy diagnosis and so on
本文从生产实践要求出发，针对生产操作者能够不用掌握太多的专业知识也能操作，研究人工智能的基本理论和电机故障机理和故障形式，寻找两者的结合点。在此基础上，重点研究基于框架理论的专家系统在电机故障诊断中应用，及探索电机模糊诊断等，在人工智能在故障诊断作了一些探索，主要完成以下工作： 1 |
| 8. | The main contents and the creationary outcomes of this paper are described as follows : ( 1 ) the limitation of the fuzzy general judge is found by analyzing its application in steam turbine generator - set ' s fault diagnosis and a multi - layer fuzzy diagnosis model which can overcome these limitations is put forward
本文的主要内容及创造性成果有： ( 1 )通过对模糊综合评判方法在汽轮发电机组振动故障诊断中应用的综合分析研究，提出了一种适用于汽轮发电机组多故障诊断的分层模糊诊断模型。 |
| 9. | In this thesis the development of noncontact monitoring blade vibration in china and other countries is summarized , the mathematical model of measuring blade vibration is presented , the monitoring system of blade vibration parameters in steam turbine is manufactured , and the theory of fuzzy diagnosis and the technology of multi - scale analysis are used to research fault blade
本文综合国内外叶片振动非接触测量技术的发展，给出了叶片动态测量的数学模型，研制了汽轮机叶片振动状态监测系统，用模糊诊断理论和多分辨率小波分析技术对叶片故障机理进行了研究。 |
| 10. | Therefore , based on the key project ? esearch on some basic problems on quality control and source tracing in modern manufacture ? ( no . 59735120 ) sponsored by national natural science foundation , a deep research is made in this dissertation its branch subject ? the theory and technology of zero - waste control . the main work and achievements are as follows : 1 . on the basis of the introduction of common quality control methods , some key problems about statistical quality control are elaborately discussed ; a method to decide the quality control line is developed ; a mathematical model based on the sampling plan of multi - variation of product quality is set up ; the process manufacturing condition of quality control chart is discriminated using the theory of fuzzy diagnosis
为此，本文基于国家自然科学基金重点资助项目“现代制造质量控制、溯源若干基础问题的研究” （项目编号： 59375254 ） ，重点对其中的子课题? ?零废品控制理论和技术进行了深入的研究。论文的主要工作和取得的成果如下： 1在介绍了常用质量控制方法的基础上，对统计质量控制的几个关键问题进行了详尽的讨论，提出了质量控制界限的确定方法，建立了基于产品质量多变异的抽样方案的数学模型，利用模糊识别理论对质量控制图工序加工状况进行了判别。 |
