A new distributed hierarchical system level fault diagnosis algorithm is presented for virtual private networks.
提出了基于虚拟专用网的一种新的分布式分层系统级故障诊断算法。
Rough Set technique is introduced for increasing the diagnosis capability of multi - fault diagnosis algorithm when diagnosis knowledge is not mature.
为了提高多故障诊断算法在诊断信息不完备时的诊断能力，引入粗糙集技术。
In this paper, a fault diagnosis algorithm in Switched Capacitor Networks (SCNs) -fault dictionary algorithm is presented based on the principle of charge conservation.
本文给出了一种开关电容网络(SCN)的故障字典诊断算法。
By the analysis of theory and application, the fault diagnosis algorithm has the characteristics of universality, completion and high-efficiency in the fault diagnosis field.
理论分析及应用表明：该算法在故障诊断领域具有通用性和高效性特点。
Fault diagnosis process based on the Ontology was elaborated, and then the fault knowledge expression and the fault diagnosis algorithm based on the Ontology were put forward.
本文对某些传感器出现通信故障的多传感器动态系统进行了研究，通过改进现有的系统框架，提出了一种新的融合估计算法。
For the loosely coupling distributed structure of ship dynamic positioning system, a new distributed system level fault diagnosis algorithm based on adaptive PMC model is proposed.
针对松散耦合的船舶动力定位系统分布式体系结构，提出了一种基于改进的二值pmc模型的分布式系统级故障诊断算法。
In this paper, a local-optimization method oriented to frequently occurring faults is presented. A heuristic fault diagnosis algorithm with fewer probing operations is also discussed.
为此，我们面向高频度故障，提出了一个基于原测试流程的局部优化方法，并且还提出了一个以减少诊断所需探针操作次数为目标的启发式故障诊断算法。
Conclusion By the analysis of theory and application, the fault diagnosis algorithm has the characteristic of universality, completeness and high efficiency in the fault diagnosis field.
结论理论分析及应用表明，该算法在故障诊断领域具有通用性和高效性。
The result shows that the algorithm is feasible and effective in the fault diagnosis of diesel valves.
结果表明，该算法在柴油机气阀故障诊断中具有可行性和有效性。
The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。
The simulation result shows that the algorithm has much faster learning speed compared with the standard BP algorithm. It is entirely practicable in diesel fault diagnosis system.
仿真结果表明，该算法比标准BP算法具有更快的学习速度，完全适用于柴油机故障诊断系统。
This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.
介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。
A new algorithm of fault diagnosis and prognosis for radar fuze is presented.
提出了一种雷达引信故障诊断和预报的新算法。
The effectiveness of the algorithm has been proved in the rotation machinery fault diagnosis and the simulation in oil field development process.
以旋转机械故障诊断问题和油藏开发过程采收率的模拟为例验证了算法的有效性。
A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
Furthermore, the experiment using the learning algorithm to model a servo-mechanism and to construct the fault diagnosis system based on the model is carried out, the results is very good.
用这种学习算法建立某伺服机构的模型，并构造基于模型的故障诊断系统，通过实验取得了较好的结果。
Based on the slope fault mode and the coefficient of linear relativity fault mode, a test nodes selection algorithm for soft fault diagnosis dictionary method of analog circuits was proposed.
基于斜率故障模型和线性相关系数故障模型，提出了一种模拟电路软故障诊断字典法中的测试节点优选算法。
An improved neural network based on L-M algorithm has been applied to fault diagnosis expert system against to the slow convergence rate of conventional BP neural network.
针对传统BP神经网络训练中收敛速度较慢的缺点，提出一种基于L - M算法的神经网络应用于机械设备故障诊断的专家系统。
Online identification algorithm is developed for railway cars system parameters to realize the scheme for condition monitoring and fault diagnosis system in real time.
为客车行车安全监测诊断系统实时实现上述方案，推导了铁道车辆系统参数的在线辨识算法。
This paper discusses in detail several common neural network structure and algorithm, and introduced the virtual instrument technology to fault diagnosis as the creativity.
本文详细论述了几种常用神经网络的结构及其算法，创造性的将虚拟仪器技术引入到故障诊断中。
An efficient algorithm of the test point selection and fault diagnosis strategy for complex systems, considering reliability and testing costs, is presented based on the dependency matrix.
以相关性模型为基础，综合可靠性和测试费用等因素提出了一种系统级优选测试点方法和故障诊断策略。
The simulating algorithm will improve the diagnosis speed and accuracy, which has an important significance for the application in industrial online fault diagnosis.
利用该采样仿真算法能极大地提高故障诊断的速度和准确度，这对因果图模型在工业在线故障诊断领域中的应用具有重要意义。
An efficient algorithm for fault diagnosis of nonlinear d. c. circuits is presented in this paper.
本文提出一种非线性直流电路故障诊断的有效算法。
A new method of fault diagnosis for analog circuits based on fuzzy-immune algorithm was proposed in the paper.
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.
对模糊免疫算法应用于模拟电路故障诊断进行了研究。
应用推荐