【作者】 朱大奇；

【导师】 于盛林；

【作者基本信息】 南京航空航天大学 ， 测试计量技术及仪器， 2002， 博士

【摘要】 电子设备故障诊断技术是一门新兴的交叉学科。是目前科学界研究的热点之一。近年来电子技术、计算机技术和人工智能技术的飞速发展，为电子设备故障诊断技术研究注入了新的活力。本文研究了基于知识的电子设备故障诊断的一些新方法。主要研究工作及成果体现在两方面，一是故障树分析法原理及其在电子设备故障诊断中的应用；二是多传感器信息融合技术及其在电子设备故障搜寻中的应用。 第一章(绪论)：介绍了设备故障诊断技术的基本概念；阐述了基于知识的设备故障诊断方法；介绍了电子设备故障诊断技术的理论研究及应用现状。 第二章(故障树分析法基本原理)：首先介绍了故障树分析的基本概念；接着系统地阐述了故障树的定性分析方法；最后讨论了故障树的定量分析方法。 第三章(电子设备故障树法诊断实践—光电雷达电子设备(36E)故障诊断系统)：介绍了光电雷达电子设备(36E)的基本原理和诊断系统硬件组成；详细阐述了电子设备(36E)整机测试与诊断，电子部件的性能检测和电子设备故障元件的搜寻与定位；最后简要介绍了电子设备(36E)故障诊断系统的软件设计。 本章首次将故障树分析法应用到光电雷达电子设备(36E)的故障搜寻之中，实践表明是实用而有效的。 第四章(基于信息融合的故障诊断技术)：介绍了信息融合的基本原理，分析了信息融合与故障诊断的关系；系统地阐述了几种故障诊断的信息融合算法；最后讨论了电子电路的信息融合故障诊断方法。 本章首次将信息融合技术应用到电子电路的故障诊断之中，提出了一种基于实验的故障隶属度函数构造形式及具体的故障目标判定准则。并以一信号放大电路为例，进行了神经网络信息融合故障搜寻的实验研究，从实验结果看信息融合能较好地解决模拟电路故障诊断的不确定性问题。 第五章(光电雷达电子部件信息融合故障诊断实验研究)：以电子设备(36E)的压-码转换电路板为实验对象，探索了信息融合技术在实际电子设备故障搜寻中的应用。 在故障信息获取方面，本章除了利用探针测试故障元件的电信号外，利用热像仪测试待诊断元件的温度信号，获取多维故障信息。从D-S融合诊断结果可以看出，只要选取的待诊断元件是合适的，关键信号测试准确，就可准确地搜寻出故障元件。说明实际电子设备故障诊断的信息融合方法是实用而有效的。更多还原

【Abstract】 The electronic equipment fault diagnosis technology is a developing and crossing discipline. It is one of the focus problems of academic circles. With development of electronic technology, computer technology and artificial intelligence, the electronic equipment fault diagnosis technology will get some new pulse. Some new method of electronic equipment fault diagnosis based knowledge is studied in this paper. Two aspect research work and results is found in the paper, one is the theory and application of fault tree analysis for the electronic equipment fault diagnosis, other is the theory and application of multi-sensors information fusion technology.In chapter 1: the basic concepts of fault diagnosis of equipment are introduced, the fault diagnosis methods based knowledge are analyzed, the basic principle and application of electronic equipment fault diagnosis are generalized.In chapter 2:. firstly the basic principle of fault tree analysis is introduced; Secondly the qualitative analysis method of fault tree is discussed exhaustively; finally the quantitative analysis method of fault tree is discussed.In chapter 3: the basic principle of electronic equipment (36E) of photovoltaic Radar and hardware of its fault diagnosis system are introduced firstly. The measurement and diagnosis of whole 36E and electronic equipment are discussed detailed secondly; Finally the software of fault diagnosis is introduced briefly.In the chapter the technology of fault tree analysis is used in fault diagnosis of electronic equipment (36E) of photovoltaic Radar at first, and it shown that fault tree analysis is practical and effective.In chapter 4, firstly the basic principle of information fusion is introduced, the relation of information fusion and fault diagnosis is analyzed; Some information fusion algorithms of fault diagnosis are discussed detailed secondly; The information fusion algorithms of electronic equipment is discussed finally.In the chapter the technology of information fusion is used in electronic circuit fault at first, the membership function and fault determinant rule based on experiment are presented. The experiment research of neural network information fusion fault diagnosis of simple signal amplify circuit is presented. It is shown that the uncertain of analog circuit fault diagnosis was solved fairly from fusion result.In chapter 5, The application method of information fusion in real electronic equipment fault diagnosis is explored for AD change circuit board of 36E.In the fault information testing, not only electronic signal is used, but also the temperature signal of fault component is tested. It is shown that fault component is found accurately by D-S fusion result when testing component is appropriate and key signal is accurate, and it shown that fusion fault diagnosis of real electronic equipment is practical and effective.更多还原