尤其较好地解决了高阻抗非线性故障的识别问题。
Especially it solves the identification problem of high impedance fault well.
基于径向基函数神经网络，建立了大坝安全自动化监测的非线性故障自诊断系统。
Based on the Radial Basis Function neural network, a kind of fault auto-diagnosis system of dam safety monitoring is established.
论述了延时嵌入相空间重构方法及其伪相图的获取技术，将这一方法用于大机组非线性故障的定性特征提取。
The theory of phase space reconstruction with time delay embedding is explained comprehensively in this paper, and used to extract qualitative features of nonlinear fault in large rotating machinery.
结果表明，该机组转子系统具有复杂的振动特性和丰富的故障特征，存在明显的非线性故障和多重故障现象。
Measured results indicate that there exist complex vibrations and various faults. The nonlinear faults and multi-faults are also obvious in the rotor system.
但是，因为网络的非线性特质，当它确实失灵的时候，其故障可能类似于除了蔬菜什么食物都记得的失语症。
But because of the nonlinear nature of a network, when it does fail we can expect glitches like an aphasia that remembers all foods except vegetables.
此外，确定非线性负载的规模和位置也是所有维护、故障排除和修理计划的重要组成部分之一。
Besides, confirming the scale of nonlinear load and locating it is also an important part of all maintenance, fault removal and repair schemes.
随着电力电子设备在船舶中的大量应用，非线性负载的增多，对船舶电站控制的可靠性及故障预防提出了更高的要求。
With more application of electric and electronic devices on ship, more and more nonlinear loads take higher demand for reliability and fault prevention of power station control.
非线性系统的故障诊断是该领域的热点与难点问题。
The diagnosis in the nonlinear systems is the hot and difficult subject in this field.
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。
Because fault symptom space and fault space have complicated non-linear relations, the mathematical model of diagnosis system is difficult to build up.
该法以电路的改进节点方程为基础，具有建立故障诊断方程容易，所建立的方程具有较低的非线性度及规则的雅可比矩阵的特点。
This method based on modified nodal approach is easy to set up the fault diagnosis equations and has lower degree of nonlinearity and regular Jacobi matrix form.
提出了一种具有建模不确定性的非线性系统在线故障检测方法。
A kind of on-line fault detection scheme in nonlinear systems with modeling uncertainty is presented.
这是由于SVM可以很好地解决小样本、非线性分类问题，而这正是潜伏性雷达故障的特点。
This is due to SVM can solve the small sample, nonlinear classification problem, which is the characteristics of the latent radar fault.
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 for a class of nonlinear systems with unknown parameters in both states and inputs is discussed.
针对一类非线性系统，设计了一种用于故障检测和诊断的滑模神经网络观测器。
Aiming at a class of nonlinear system, designs a kind of sliding mode neural network observer for fault detection and diagnosis.
提出了一种基于节点电压非线性优化模型的变电站接地网故障诊断方法。
This paper proposes a fault diagnosis method for grounding grid based on nonlinear nodal voltage optimization model.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
针对同时存在网络时延和数据包丢失的网络环境，研究了一类非线性网络控制系统的鲁棒故障检测问题。
With the presence of time-delay and packet dropout effects in the network, the problem of robust fault detection for a class of nonlinear networked control systems is investigated.
本文针对一类非线性系统，提出了一种用于故障检测和诊断的滑模观测器方法。
A new fault detection and diagnosis method based on sliding mode observer is presented for a class of nonlinear system.
研究了基于不确定信息理论的非线性系统综合故障诊断方法。
A comprehensive fault diagnosis approach on nonlinear systems is studied by using uncertain information theory.
本文给出了非线性电路故障节点诊断的一种方法。
This paper gives a method of the diagnosis of faulty nodes in nonlinear circuits.
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.
提出一种基于非线性电路频域核分析和神经网络的故障诊断方法。
A fault diagnosis method based on frequency-domain kernel analysis in nonlinear circuit and neural network is presented.
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。
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.
针对一类非线性输出注入系统，研究了基于自适应观测器的故障估计问题。
Fault estimation based on adaptive observer is studied for a class of nonlinear output injection system.
采用动态神经元网络状态观测器的故障检测和诊断方法对非线性时变热力系统状态进行估计。
A nonlinear time dependent thermodynamic system status is analyzed with a fault detection and diagnostic method being carried out by a dynamic neuron network status observer.
本文涉及的是具有不可测节点的非线性电路的有限故障诊断问题。
This paper deals with the limited-number-fault diagnosis of nonlinear circuits with unaccessible nodes.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
提出一种基于核规范变量分析(KCVA)的非线性过程故障诊断方法。
A new method based on kernel canonical variate analysis (KCVA) is proposed for nonlinear process fault diagnosis.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
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