本文提出一种模拟电路故障诊断法。
分析了模拟电路故障诊断中故障类重叠。
The faults overlap circumstances in analog fault diagnosis are analyzed.
文中介绍了模拟电路故障诊断的研究现状。
The state-of-the-art of fault diagnosis for analogue circuits is introduced.
提出了一种非线性模拟电路故障诊断新方法。
A novel method for fault diagnosis in nonlinear analog circuit is developed.
这一研究是对模拟电路故障诊断方法新的探索。
This research is the new exploration to methods of fault diagnosis of analog circuits.
本文提出了一种模拟电路故障诊断的有效方法。
In this paper, an efficient method of the analog circuit fault diagnosis is presented.
本文对现有的模拟电路故障诊断理论进行评论。
This paper gives a review of the theory that has been established about automatic fault diagnosis for analog circuits.
文中提出了一种基于模型的模拟电路故障诊断方法。
In this paper, a method of fuzzy fault diagnosis based on the model for the analog circuits is presented.
对模糊免疫算法应用于模拟电路故障诊断进行了研究。
A new method of fault diagnosis for analog circuits based on fuzzy-immune algorithm was proposed in the paper.
而现代智能技术为模拟电路故障诊断提供了一条有效的途径。
Mordern intelligent technologies provide a effective way for circuit fault diagnosis.
而基于神经网络的模拟电路故障诊断方法可以很好地解决这些问题。
The method of analog circuit fault diagnosis based on neural network can solve these problems properly.
测后诊断速度和诊断精度是模拟电路故障诊断性能的主要衡量指标。
For analog circuit diagnosis, the post fault diagnostic speed and the diagnostic accuracy are the main indexes of its performance.
本文基于系统辨识的思想，对模拟电路故障诊断提出了一种新的方法。
Based on the idea of system recognition, a new approach for analog circuit fault diagnosis is developed in this paper.
在具有容差的模拟电路故障诊断中，似相关块的存在影响故障定位的准确性。
The influence of look-like correlative blocks on the accuracy for location of faults is serious in the fault diagnosis of analog circuits with tolerance.
提出了一种基于统计理论、信息融合及神经网络的容差模拟电路故障诊断方法。
Based on statistics theory, data fusion and neural network, a new fault diagnosis method for analog circuits with tolerance is proposed.
模拟电路故障诊断一直以来都是十分必要且有意义的，已成为热门的研究课题。
Analog circuit fault diagnosis has been very necessary and meaningful, and it has become a hot topic for research.
模拟电路故障诊断一直以来都是十分必要和有意义的，目前已成为热门的研究课题。
The theory of analog circuit fault diagnosis is very important and significant, and now it has become a hot research topic.
分析了传统BP型神经网络在模拟电路故障诊断中应用所存在的缺点，提出了解决办法。
The shortages of classic BP Neural Network for fault diagnosis of analog circuit are put out. A method is put forward to improve the classic BP Neural Network.
仿真实例表明：立足于模拟电路故障诊断字典法，该算法对模拟电路故障诊断非常有效。
Finally, an example for the fault diagnosis of analog circuits using fault dictionary was shown and the simulation results indicated the validity of the proposed algorithm.
基于贝叶斯证据框架下的最小二乘小波支持向量机，设计了一种新型模拟电路故障诊断方法。
Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.
主要介绍了模拟电路故障诊断的新方法及测试原理，重点讲解了神经网络结构中参数选择方案。
It mainly introduces new methods of diagnosing simulation circuit trouble and testing principles, explains the scheme of choosing neural network structure parameter especially.
对模拟电路故障诊断的研究，目前仍处于继续探讨新的原理和方法，不断改进现有方法的阶段。
The research of analogue circuits fault diagnosis, now, is still in the stage of continuing to develope the new principles and methods, and going on improving the existing methods.
针对控制系统中模拟电路故障诊断时的不确定性问题，提出了将模糊理论和神经网络相结合的方法。
In order to handle the uncertainties in fault diagnosis of analog circuits used in the control system, a method, which combines fuzzy theory and neural network, was proposed.
在模拟电路故障诊断中为了简化运算过程或分离出故障部分，往往需要把一个网络撕裂成几个子网络。
In the faulty diagnosis if linear large analog circuits, there are needs to tear a large network into several subnetworks so as to isolate a faulty part and simplify the computation.
仿真试验表明该方法故障定位精确度高、撕裂迅速，有利于大规模模拟电路故障诊断过程自动化的实现。
Simulation confessed: the method has high location precision and fast decomposition rapid, which can be applied to diagnose large-scale analog circuit fault.
本文将故障验证技术中的伪电路法和支路诊断法结合起来，提出了线性模拟电路故障诊断的分组诊断法。
Based on the methods of pseudo circuit and branch diagnosis, a grouping diagnosis for the fault in a linear analog circuit is proposed.
本文着眼于该项课题中的故障诊断技术，对神经网络在模拟电路故障诊断中的应用进行了积极的研究工作。
So remote network testing and fault diagnosis technology become a new research projects which is attended many technical experts.
本文提出了专家系统和模糊理论应用到神经网络的容差模拟电路故障诊断方法，尤其对容差电路的软故障诊断做了重点阐述。
This paper presents a new approach of fault diagnosis for tolerance analog circuit, and especially expounds the soft fault diagnosis in tolerance analog circuit.
本文最后还针对测试台软件的核心功能——故障诊断，总结了模拟电路故障诊断方法，并给出了一种实用的模拟电路故障诊断方法及其构件实现。
So at last this paper summarized the methods of analog circuit fault diagnosis and present an useful method of diagnosis and it 's component-based software implement.
本文最后还针对测试台软件的核心功能——故障诊断，总结了模拟电路故障诊断方法，并给出了一种实用的模拟电路故障诊断方法及其构件实现。
So at last this paper summarized the methods of analog circuit fault diagnosis and present an useful method of diagnosis and it 's component-based software implement.
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