RCM ( reliability centered maintenance ) concept is applied to equipment preventive maintenance which greatly improves it.

RCM devotes to establish its own academic norm, managing strategy and exhibition mechanism.

南画廊努力建立自己的学术标准 、 经营策略和展览机制.

The practice of RCM on display line equipment management should be developed further more.

以“可靠性为中心”的维修理论在显示器装配线设备维修管理中具有良好的应用前景.

Reliability centered maintenance ( RCM ) is more and more widely applied for its advanced and practicability.

以可靠性为中心的维修 ( RCM ) 因其先进性和实用性正受到越来越广泛的应用.

PRA techniques are introducedinto RCM analysis.

将概率风险评价(PRA)技术用于RCM分析中.

Automatic RCD test sequence.

自动民盟测试序列.

A real-time algorithm, called reduced-basis method ( RBM ) , was applied to solve the forward problem herein.

在正问题求解中采用了一种 实时 算法 —— 缩减基法.

A real-time algorithm, called reduced-basis method ( RBM ), was firstly introduced to the analysis of truck frame.

在汽车车架分析中引入一种超高速计算方法 —— 缩减 基法.

Methods 2 K 1 C RHT rats were catagorized into 2 groups . 4 and 8 wks afteroperation as controls.

方法建立2K1C-RHT模型,将大鼠随机分为4组:术后4,12周高血压组和对照组.

Methods: The lung ACE, aorta NOS, plasma ET and plasma CGRP of RHR were inspected by using kits.

方法: 通过试剂盒测定灌胃红曲4周后RHR肺组织ACE活性和主动脉NOS活性, 以及灌胃红曲前后血浆ET和CGRP的变化.

Methods: The RHR models were established by two-kidney one clip ( 2 K 1 C ) method.

方法: 采用二肾一夹 ( 2K1C ) 法建立RHR模型.

A solving plan of prediction of frequency-hopping signals-the RBF neural network is presented.

提出了一种跳频信号频率预测的解决方案———RBF神经网络.

The RBF ne ur al network model is proposed and used for predicting of cement strength.

利用RBF神经网络的算法,建立了水泥强度的预测模型.

CHAOS-RBF soft-sensing model is applied in Lunan fertilizer plant; temperature error is maintained below 1.5 percent.

CHAOS -RBF软测量模型在化肥厂的应用效果良好, 误差保持在1.5%以内,不但提高了温度测量精度,而且有利于更好的生产控制.

In this paper, adopt two methods: RBF neural network and Multiple neural network.

本文采用了两种方法: RBF神经网络和多神经网络.

The computer simulations demonstrate that the RBF network designed in this method has good performances.

计算机仿真表明,采用这种算法训练的RBF网络达到了较好的性能.

Compared with RBF neural network, SVM has higher diagnosis accuracy on compound fault samples.

对复合故障样本诊断准确度较RBF神经网络高.

In this paper, a new faut diagnosis method combining wavelet-energy and RBF neural network is proposed.

提出了一种基于小波能量和RBF神经网络相结合的钢水连铸下渣的自动检测方法.

RBF network for function approximation procedures, the use of look at it!

RBF网络用于函数逼近的程序, 用的着的看看吧!

Then, slag signal can be identified by using RBF neural network automatically.

然后, 利用RBF神经 网络实现正常浇铸和下渣信号的自动识别.

Intelligence controller loop composed of RBF neural network regulates the pattern.

在本课题研究过程中,为了说明RBF神经网络智能控制器的优点.