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.
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.
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 .
为预测卫星热控系统温度、提高该系统故障诊断准确率，采用了基于模型的研究方法，建立了热控系统数学模型。
A model based research method is adopted to forecast the temperature and improve the accuracy of fault diagnosis for satellite heat control subsystem. A mathematical model is established.
为预测卫星热控系统温度、提高该系统故障诊断准确率，采用了基于模型的研究方法，建立了热控系统数学模型。
A model based research method is adopted to forecast the temperature and improve the accuracy of fault diagnosis for satellite heat control subsystem.
将灰色系统理论应用于设备的故障诊断，较好地解决了设备状态预测和故障模式识别的问题。
By applying the theory of grey system to diagnosing equipment breakdown, the problems of state prediction and trouble-mode recognition of equipment can be solved.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
故障诊断和寿命预测是民航发动机健康管理的重要内容，是实现发动机视情维修的主要技术手段。
Fault diagnosis and life predication are key parts of civil aviation engine heath management system, and are the important means to achieve on-condition maintenance.
提出一种新的基于神经网络多步时序预测的非线性系统故障诊断方法。
A new approach to fault diagnosis of nonlinear systems, which USES multistep prediction of time series based on neural network, is presented in this paper.
智能分析技术，包括状态预测和故障诊断。
Intelligent analysis technology includes status prediction and fault diagnosis.
汽轮机的性能预测是故障诊断的重要手段，同时也可为汽轮机预期维修提供依据。
Performance forecasting is an important method for steam turbine fault diagnosis, and it can supply a scientific basis for predictive maintenance as well.
由于采用相邻的两圈预测下一圈的温度分布，因此可以作为卫星热故障诊断的依据，避免了误差的积累。
Temperature distribution predicted by last two circles can be the basis on thermal fault diagnosis for satellites. Meanwhile the error accumulation can be avoided.
该系统主要包括变压器油色谱预测、变压器故障诊断以及数据仓库OLAP分析等几个模块。
This system mainly includes the transformer oil chromatograph forecast, the transformer fault diagnosis as well as the data warehouse OLAP analysis and so on several modules.
TRFDS具有操作简单、采集分析速度快、精度高、故障诊断和预测功能较强等特点。
TRFDS is characterized by easy operation, fast and accurate acquisition and analysis as well as better capabilities of fault diagnosis and forecast, etc.
应用恩泰克预测维修（PM）系统对大庆油田化学助剂厂大型旋转设备进行了状态监测和故障诊断。
Status monitoring and trouble diagnosis for large rotary equipment of chemical assistant factory in Daqing Oil Field have been carried out by PM system.
基于神经网络预测的传感器故障诊断进行了讨论。
Sensor fault diagnosis based on neural network predictor is discussed.
一个完善的故障诊断系统可以有效的将故障机理、监测分析、趋势预测等理论应用于现场机组的生产之中。
A perfect fault diagnosis system should be joined with the technology of fault theory, monitoring and trend anticipation and so on.
最后验证了用神经网络方法建立的油品质量模型能快速地得到有效预测信息，从而为实现质量指标的实时预估和在线故障诊断奠定了基础。
Finally, it is proved that the proposed predictive models can predict the quality target efficiently and rapidly. It provided a method for online diagnosing fault of quality targets.
具有便捷的趋势预测分析，历史数据、故障数据查询功能，和完善的故障诊断方法，能够在时域、频域、幅值域对设备进行故障诊断。
This system has trend forecasting, history data querying, and fault diagnosis ways in the time-domain, frequency-domain and amplitude-domain.
结合具体工程项目，运用以上研究成果，以D350高速风机的振动状态预测为背景，与课题其他成员一起开发了D350高速风机在线监测和故障诊断预测系统。
Relating practice engineering project, applying the above research achievements, our project team developed on-line prediction and fault diagnosing system of D350 Rapid-Speed Fan.
本项目的研究克服了传统的智能诊断需要大量故障数据样本的不足，为机械故障诊断和状态预测提供了一种新方法。
These researches overcome the shortcoming of needing many fault data samples of existing intelligent diagnosis methods, and provide a new method for machinery fault diagnosis and condition prediction.
变压器故障诊断和故障预测是保证其正常运行并进行状态维修的基础。
Transformer fault diagnose and fault prediction are the basis of the transformer condition based maintenance.
本文就变压器数据仓库的构建、变压器综合故障诊断、变压器故障预测方法进行了深入的研究。
In this paper we have done in-depth research in transformer data warehouse construction, transformer fault diagnosis and fault forecast.
论文围绕最小二乘支持向量机ls - SVM在变压器故障诊断、故障预测中的应用进行了研究。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
根据构建的分类模型，可以发现故障设备运行的内在规律，快速对未知故障设备进行归类，从而为故障诊断与故障预测提供决策依据。
On the basis of the classified model, the intrinsic regularity how the machine runs can be found, and the unknown breakdown equipment may be classified quickly, whi...
根据构建的分类模型，可以发现故障设备运行的内在规律，快速对未知故障设备进行归类，从而为故障诊断与故障预测提供决策依据。
On the basis of the classified model, the intrinsic regularity how the machine runs can be found, and the unknown breakdown equipment may be classified quickly, whi...
应用推荐