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1)  fault prediction
故障预测
1.
Transformer fault prediction using new grey prediction model;
基于灰色新预测模式的变压器故障预测
2.
The research of a fault prediction method of the electronic equipment of a type of missle based on the combined prediction model;
基于组合预测模型的某型导弹电子设备故障预测方法研究
3.
SPM-based online fault prediction approach for multivariate continuous processes;
基于SPM的多变量连续过程在线故障预测方法
2)  fault forecast
故障预测
1.
Based on fuzzy mathematics fault forecast of intelligent roller;
基于模糊数学的智能压路机故障预测
2.
A New Fault Forecast Algorithm Based on Dynamic Fuzzy Comprehensive Evaluation Method;
一种基于动态模糊综合评判的故障预测新方法
3.
Dynamic Fuzzy Synthetic Judgement Method and Its Application in Fault Forecast;
动态模糊综合评判法及其在故障预测中的应用
3)  fault forecasting
故障预测
1.
The system hardware structure and software design idea are introduced in detail,Taking the vibration signal of main shaft for rotating machinery as an example,the characteristic vectors are extracted and fault forecasting is carried out using wavelet analysis and grey theory.
提出了一种基于小波分析和灰色预测理论的旋转机械故障预测分析仪设计方案。
2.
This paper is based on the feature of neural network and studied the fault forecasting method of oxygen sensor based on neural network.
本文从神经网络的特点出发,研究了基于神经网络的氧气传感器的故障预测方法,经实验表明,该方法简单、实用,也可应用于同类的气体传感器。
3.
A fuzzy expert system on the fault forecasting for a self propelled gun is developed using an object oriented approach.
采用面向对象方法 ,开发了一个自行火炮故障预测模糊专家系统。
4)  Fault prognosis
故障预测
1.
Equipment degradation state recognition and fault prognosis method based on wavelet correlation feature scale entropy and HSMM;
基于小波相关特征尺度熵的HSMM设备退化状态识别与故障预测方法
2.
Research on system fault prognosis method based on multi-component dynamic damages;
基于多组件动态损伤的系统故障预测方法研究
3.
Multi-scale PCA based fault prognosis for industrial processes
基于多尺度PCA的工业过程故障预测
5)  fault prognostics
故障预测
1.
Research on equipment degradation state recognition and fault prognostics method based on KPCA-Hidden Semi-Markov Model
基于KPCA-HSMM设备退化状态识别与故障预测方法研究
2.
Supposing that system fault evolution process is expressed by a state space model with unknown slow time-variant parameters,then the fault prognostics can be formulated as a problem of estimating model states for some future time while knowing all the information about system till time step now.
假设对象系统的故障演化过程可以由一个含有未知缓变参数的状态空间模型加以描述,则故障预测问题就可以转化为一个在已知当前系统信息的条件下,对系统未来某一时刻的状态变量的估计问题。
3.
Some important issues related to fault prognostics including its definition,functionality,algorithmic approaches,difficulties and proposed future work are discussed.
详细介绍了故障预测技术的定义、研究内容、研究方法、研究难点及其研究趋势。
6)  failure rate forecasting
故障率预测
1.
Research on failure rate forecasting method based on ARMA model;
基于ARMA模型的故障率预测方法研究
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
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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