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1)  hydro power generator set bottom frame
水电机组下机架
2)  underwater motor
水下电机
1.
The practical application of high coercive force NdFeBpermanent magnet on underwater motor;
高矫顽力钕铁硼磁体在水下电机中的实际应用
2.
Traditional cooling technologies of underwater motor mainly includewater-cooling and oil-cooling.
水下电机传统冷却技术主要包括水外冷和油冷。
3)  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。
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4)  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。
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5)  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。
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6)  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
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补充资料：上海十钢有限公司φ1350五机架冷连轧机组轧制窄带钢


上海十钢有限公司φ1350五机架冷连轧机组轧制窄带钢


上海十钢有限公司(b350五机架冷连轧机组轧制窄带钢
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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