The fault diagnosis problem for a class of nonlinear systems with unknown parameters in both states and inputs is discussed.
讨论了一类含有状态和输入未知参变量的非线性系统的故障诊断问题。
The fault diagnosis problem of active network is studied in this paper with the emphasis upon its solvability and diagnosability.
本文研究有源网络的故障诊断问题，着重研究其可解性与可诊断性。
The fault diagnosis problem is the resolving of a limited set of measurements in terms of a large set of possible but improbable malfunctions.
发动机故障诊断是根据有限的发动机性能参数的测量值在众多的可能发生但不一定发生的故障之中确定出故障的类别和程度。
In order to solve the test and fault diagnosis problem of airborne CPU board, fault relationship method, function encode method and so on are put forward.
针对某机载CPU板硬件检测与故障诊断的问题，提出了故障关联、功能点编码等检测方法。
Based on the linear matrix inequality (LMI) approach, the system fault diagnosis problem can be solved by using the systems robust stability analysis method.
基于线性矩阵不等式(LMI)的方法，将故障检测问题转化为系统鲁棒稳定性的分析问题。
For solving the fault diagnosis problem of chemical processes, a new kind of distributed (cooperative) fault diagnosis model based on multi-agent system is provided.
针对化工过程的故障诊断问题，给出了分布式化工过程故障诊断问题的多智能体的合作求解模型。
Generally, it is difficult to determine in advance a suitable network structure when a multi layer perceptron neural networks is used for a special fault diagnosis problem.
一般对特定的基于多层感知器的故障诊断问题，很难确定神经网络的结构。
According to the rule that fault information volume is maximal at fault point, the fault diagnosis problem is transferred into problem on seeking for optimum fault detecting point.
依据故障点处提供的故障信息量最大，将故障诊断问题转化为寻找最优故障检测点问题。
But in wavelet parameters optimization problem, wavelet analysis in the application of the theory to the actual fault diagnosis system, has a large number of practical work to do.
但在小波参数的最优化问题上，在将小波分析的理论应用到实际的故障诊断系统中，还有大量的实际工作要做。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
The article discusses problem of solving the soft fault diagnosis by artificial intelligence according to the invariable general characterization of the component in the circuit.
深入探讨并初步解决了根据元件软故障的统一特性，采用人工智能方法实现软故障的模式识别诊断的问题。
The problem of test node selecting in fault diagnosis is studied based on the diagnosis value measure.
针对故障诊断中的检测点优选问题，提出了一种新的检测点故障诊断价值测度方法。
Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed.
针对旋转机械故障诊断专家系统中的知识表示问题，讨论了语义网络的知识表示方法。
The paper analyzes the problem of selecting test nodes in antiaircraft gun servo system diagnosis using fault dictionary.
本文对高炮随动系统故障字典法诊断中测试节点选择问题进行了分析研究。
The paper analyzes the problem of selecting test nodes in analog circuit diagnosis using fault dictionary.
针对模拟电路故障字典法诊断中测试节点选择问题进行了分析研究。
The problem of fault diagnosis for timed event graph is studied in this paper.
本文提出并研究了基于赋时事件图的故障诊断问题。
The approach of fault diagnosis and the problem of fault diagnosability are researched for linear systems with state delays.
研究含有状态时滞的线性系统的故障诊断方法及故障的可诊断性问题。
This technology can solve the problem of remote fault diagnosis for paver better.
该技术较好的解决了摊铺机难以实现远程实时故障诊断的问题。
Based on the unknown input observers and the concept of equivalent control, this paper considers the problem of robust fault diagnosis of sensor faults in a class of nonlinear systems.
基于未知输入观测器设计和等价控制的概念，讨论了一类非线性系统传感器故障的鲁棒故障诊断问题。
The problem of concurrent fault diagnosis is one of the difficulties with fault diagnosis technology, not yet very good solution.
并发故障诊断问题是故障诊断技术中的难点之一，尚未有效地解决。
The problem of system fault diagnosis is the matter of multi-knowledge sources, which results in the wide refection of the states of system.
系统的故障诊断问题是一种多知识源问题，反映系统状态的信息有时十分广泛。
Chapter three does a research on two class classifier problem of fault diagnosis for driving axle.
第三章对驱动桥故障诊断的两类分类问题进行了研究。
First, the equations of module level fault diagnosis are derived, and the testability problem for module fault is discussed in general.
文中首先推导了模块故障诊断方程，并对模块故障可测性问题进行了一般性讨论。
To resolve the problem of low locating rate in fault diagnosis, efforts were made by using preceding fault information fully in lot assure tests.
针对机载设备故障诊断定位率低的问题，提出充分利用先验故障信息指导批次定检的思想。
Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults, a novel approach of sensor fault diagnosis based on generalized regression neural network (GRNN) is proposed.
针对诊断传感器偏置故障与漂移故障的难点问题，提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。
A new method for fault diagnosis of aircraft fuel system using BP network as a way to prevent the problem of fault diagnosis of aircraft system is presented.
对于飞机燃油系统故障诊断问题，提出了一种利用BP神经网络进行飞机燃油系统故障诊断的新方法。
For the problem of fault diagnosis of aircraft fuel system, a new method based on expert systems for fault diagnosis of aircraft fuel system is presented in this paper.
对于飞机燃油系统故障诊断问题，提出了一种利用专家系统进行飞机燃油系统故障诊断的新方法。
To resolve the problem of low locating rate in fault diagnosis of air-borne radio equipment, the idea was proposed to using preceding fault information in the tests of batch equipments.
本文针对机载无线电设备故障诊断定位率低的问题，提出利用先验故障信息指导批次定检的思想。
At present, concurrent fault diagnosis fault has become a common problem.
目前，并发故障已经成为故障诊断的常见问题。
At present, concurrent fault diagnosis fault has become a common problem.
目前，并发故障已经成为故障诊断的常见问题。
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