| 1. | Cluster - based fault diagnosis algorithm in ad - hoc networks
网络中一种基于簇的故障诊断算法 |
| 2. | Fault diagnosis algorithm for mobile hosts in hierarchical ad - hoc networks
网络中的一种移动节点故障诊断算法 |
| 3. | A fault diagnosis algorithm on application layer in hierarchical ad hoc networks
网络中的一种应用层故障诊断算法 |
| 4. | Finally it discusses some fault diagnose methods for this mobile communication system
对该系统的故障诊断算法做了重点的研究。 |
| 5. | So the studies on diagnostic methods for sensor fault are valuable very much
本文研究的故障诊断算法有:主元分析法( pca )和神经网络预测法。 |
| 6. | An improved fault diagnosis algorithm based on system - level diagnosis for satellite networks was proposed and its correctness was proved
在前面工作的基础上，提出一种改进的基于系统级诊断的卫星网络故障诊断算法，并给出诊断正确性的证明。 |
| 7. | Fault diagnosis method and rule are put forward by analyzing the working process and principle of the reactor and controlling system
通过对cfbr -堆及其控制系统工作过程和工作原理的分析，提出了cfbr -堆控制系统的故障诊断算法，确定了故障诊断规则。 |
| 8. | Complete fuel cell condition monitoring and fault diagnosis soft and hardware system , adopting the fit fault diagnosis algorithm , through the verify of practice , basically satisfy prescriptive technique target , obtaining the favourable result
完成了燃料电池状态监测与故障诊断系统硬件和软件设计，采用了合适的故障诊断算法，经过了实践的检验，基本满足了所规定的技术指标，取得了良好的效果。 |
| 9. | The fault diagnosis based on wavelet transform ( wt ) is studied . according to the theory of the signal singularity detection based on wt , a fault diagnosis method based the b - spiine wavelet is given , and the good result is obtained in the simulation experiment
基于小波变换的故障诊断?根据小波变换的信号奇异性检测理论，给出了一种基于b样条小波的故障诊断算法，并对其进行了计算机仿真，结果表明该方法正确有效。 |
| 10. | An example of faults diagnosis in a complicated electromechanical system - horomill is cited ; and according to its concrete features , this thesis covers the measuring and the collection of fault feature information , the composition of the software and the hardware of faults diagnosis system , and the collection of sample books . the author takes the algorithm of faults diagnosis of artificial neural networks to emulate the faults diagnosis of the horomill system . th e thesis proves the feasibility and the superiority of faults diagnosis of the artificial neural networks - based electromechanical system
以辊碾磨这一复杂机电系统的故障诊断为实例，针对辊碾磨的具体特点，研究了故障特征信息的检测与提取、故障诊断系统软件和硬件的构成以及学习样本的选择方法，并利用人工神经网络的故障诊断算法对该系统的故障诊断进行仿真，证明了基于人工神经网络对机电系统故障诊断的可行性和优越性。 |
