刀具状态监测是实现自动化加工和无人化加工的关键技术。
Tool condition monitoring is the key technique in automatic and unmanned machining process.
时发电机的状态监测及维修的应用也做了论述。
The paper also describes the condition monitoring and maintenance application for generators.
数据采集模块是状态监测与故障诊断系统的基础。
Data collection module is the base of the condition monitoring and fault diagnosis system.
运用状态监测系统可以查找故障部位并指导维修。
Using condition monitoring system can find out the fault position and aid making maintenance.
基于多参数的风机状态监测与故障诊断系统的开发。
Development of the multiparameter condition monitoring and fault diagnosis system of fan.
设备状态信号的处理是状态监测及故障诊断的基础。
Equipment condition signal processing is the foundation of condition monitoring and fault diagnosis.
介绍了冲击脉冲计对设备状态监测与诊断的新技术。
The paper introduced a new technique of monitoring and diagnosing eqiupment by a shock pulsimeter.
因此，人们开始关注变压器状态监测的研究和应用。
So people start to pay attention to the research the application of state-monitoring of transformer.
铁谱分析技术已广泛应用于设备的状态监测与故障诊断。
Ferrograph analysis technology has been widely applied in equipment condition monitoring and fault diagnosis.
对网络用户和研究人员来说，网络状态监测越来越重要。
The article summarizes significance and analyzes the main theory, technology of network state monitoring.
状态趋势预测是状态监测与故障诊断中的一个重要环节。
Trend prediction is an important part in condition monitoring and fault diagnosis .
给出了用于发动机诊断的状态监测参数和性能评估参数；
Parameters of health monitoring and performance assessing have been given to diagnose engine.
由此得出的有关信息可用于连杆组件的故障诊断及状态监测。
The information obtained herefrom is useful to the trouble diagnosis and state monitoring of the connecting rod.
介绍了压缩机组状态监测和故障诊断系统的组成、功能和特点。
Introduce the composition, function and characteristic of the condition monitoring and failure diagnosis system of compressor unit.
简要介绍了状态监测和故障诊断技术的概念、原理和工作方法。
The condition monitor and the breakdown diagnosis technology concept, the principle and the method of work are introduced.
此技术在在线状态监测系统S8000中发挥了相当重要的作用。
This technology has played a very important role in the condition monitoring system S8000.
叙述了卫星测试无线转发系统中状态监测系统的构成和相关技术。
This paper specifies the compose and technology of the status supervise part of RF system for satellite test.
振动信号的趋势预测是设备状态监测与故障诊断中的一个重要内容。
The trend forecasting of vibration signals is an important content of condition monitoring and fault diagnosis.
因此，工程信号的分析与处理在设备的运行状态监测中应用极为广泛。
So the application of the engineering signal analyzing and processing is very extensive in working condition monitoring.
基于电气量的变压器状态监测与健康诊断是本文的另一重要研究内容。
Transformer status monitoring and health diagnosing based on electric quantity is another important aspect of this paper.
在结构健康状态监测中，光纤传感器因其良好的性能而得以广泛运用。
In the health monitoring of structures, Fiber optical sensor has been used widely due to its good performance.
并以轴承的振动和润滑脂温度为监测参数，建立了轴承状态监测系统。
According to grease temperature and vibration of rolling bearings, the condition monitoring for rolling bearings was built.
为了提高该状态监测系统的实时性能，所有程序都是用汇编语言来实现。
For improving the real time performance, all the programs are realized by assemble language.
设备状态监测与故障诊断技术是一种了解和掌握设备使用过程状态的技术。
Equipment condition monitoring and fault diagnosis technology is a kind of know and master the use of the technology process equipment state.
该方法是某飞船推进系统状态监测与故障诊断专家系统中的关键技术之一。
This method was one of the key technologies in state detection and fault diagnosis expert systems of the propulsion system of spacecraft.
本文系统地介绍了工程机械状态监测与故障诊断技术中常用的检测仪器和方法。
Common instruments and methods in status monitoring and failure diagnostic technique of construction machinery are systematically introduced in the article.
结合计算机仿真，可以实现系统的性能预测、控制优化、状态监测与故障诊断。
Combined with computer simulation, this method can be applied to steam turbine performance prediction, optimizing control as well as condition monitoring and fault diagnosis.
有效特征向量的提取和状态识别是设备状态监测与故障诊断领域中的关键技术。
The extraction of effective feature vectors and pattern recognition are the key technique in the subject of mechanical condition monitoring and diagnosis.
有效特征向量的提取和状态识别是设备状态监测与故障诊断领域中的关键技术。
The extraction of effective feature vectors and pattern recognition are the key technique in the subject of mechanical condition monitoring and diagnosis.
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