1) hydroelectric generating set
水电机组
1.
An analysis on actual states of condition-based maintenance in hydroelectric generating sets;
水电机组状态检修现状分析
2.
A hydroelectric generating set on-line vibration monitoring system for based on LabVIEW and PXI instrument;
基于LabVIEW和PXI技术的水电机组在线振动监测系统
3.
This paper introduces the purpose and significance of signal processing in the state analysis system of hydroelectric generating sets, and clarifies the signal characteristics of the system.
介绍了在水电机组状态分析系统中使用信号处理技术的目的与意义,阐明了系统中的信号特征,针对信号特征采用相关的信号处理方法进行信号分析与特征提取。
2) hydroelectric unit
水电机组
1.
The application of improved BP neural network to temperature modeling and forecasting in shaft bushing of hydroelectric unit;
基于改进BP算法的水电机组轴瓦温度预测
2.
The Smooth-Variable speed technology of large hydroelectric units has two advanced forms; one is a static Scherbius system; another is a non-commutator machinery technology.
介绍了大型水电机组无级调速的两项先进技术,一是利用静止歇尔皮斯系统,另一是大型无换向器电机技术。
3.
Online efficiency monitoring system of hydroelectric unit is very important for hydro power station operation.
水电机组效率在线监测系统在水电厂运行中具有十分重要的意义,是水电站实现经济运行及机组状态检修的基础。
3) hydropower unit
水电机组
1.
Current research and development of state monitoring and fault diagnosis of hydropower units;
水电机组状态监测与故障诊断技术研究现状与发展
2.
Study on application of information fusion technology to computer monitoring system of hydropower unit;
信息融合技术在水电机组计算机监控系统中的应用研究
3.
It is difficult to describe the character of hydropower unit control system by use of the accurate mathematics modelbecause itis acomplicated non-liner system.
利用模糊神经网络ANFIS较强的非线性逼近能力建立辨识模型,对水电机组控制系统输入、输出特性进行了辨识。
4) hydropower generating units
水电机组
1.
The symptom extraction of axis orbit in fault diagnosis of hydropower generating units;
水电机组故障诊断专家系统中图形征兆的提取
2.
The application example of hydropower generating units is given.
针对水电机组的特点,完善了FMECA模型分析方法,集成规则、框架、模型和过程等多种单一知识表示方法,提出了基于故障树的面向对象的混合知识表示方法,并给出水电机组描述实例。
3.
The comparative study of building up a knowledge base for hydropower generating units was made theoretically and methodically.
以水电机组为研究对象 ,对故障诊断专家系统知识库的建立从理论上和方法上进行了研究 ,建立了基于C ++的产生式知识库系统 。
5) hydroelectric units
水电机组
1.
Fault diagnosis of hydroelectric units based on rough set & RBF network;
基于粗糙集-RBF神经网络的水电机组故障诊断
2.
Fault diagnosis method for hydroelectric units based on rough set & Rbf network;
水电机组振动故障的粗糙集-神经网络诊断方法
3.
Research on the fault diagnosis of hydroelectric units based on variable precision rough set
基于变精度粗糙集的水电机组故障诊断
6) Hydropower Generating Unit
水电机组
1.
Modern Intelligent Computation and Its Application in Fault Diagnosis of Hydropower Generating Unit
现代智能计算及其在水电机组故障诊断中的应用
2.
The main methods for vibrating signal de-noising of hydropower generating unit are reviewed.
本文针对水电机组振动信号消噪方法进行了系统地总结。
3.
The characteristics of intelligent diagnosis technology such as expert system,fuzzy control,neural network control,the achievement of research and the application of them in the fault diagnosis of the hydropower generating unit are focused.
简述了智能诊断技术的发展状况,介绍了智能诊断技术中专家系统、模糊控制、神经网络控制等的特点及在水电机组故障诊断中的应用研究成果,并分析了水电机组振动故障智能诊断技术的发展前景。
补充资料：1100mm×12.7mm大型冷弯型钢机组(汉口轧钢厂)
1100mm×12.7mm大型冷弯型钢机组(汉口轧钢厂)
一睽 1100mmx12.7mm大型冷弯型钢机组(汉口轧钢厂)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条