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1)  intelligent fault forecast
智能故障预测
2)  intelligent prediction of earlier period faults
早期故障智能预测
3)  fault intelligent examination
故障智能检测
4)  intelligent fault diagnosis
智能故障检测
1.
With intelligent fault diagnosis methods developing,methods based on spectrogram identification should be popularized,its practicability was proved through recognition of bearing fault here.
为了探索基于振动谱图像模式识别的智能故障检测方法,以滚动轴承为对象,提出了用SPWVD分布来表征振动信号时频分布特性,利用SPWVD图像的GLCM及其特征统计量来提取故障特征。
5)  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。
6)  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
补充资料:智能故障诊断
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性质:把智能控制应用到故障诊断中,根据观察到的状况、领域知识和经验、推断出系统、部件或器官的故障原因,以便尽可能发现和排除故障,以提高系统或装备的可靠性。智能故障诊断系统一般由知识库(故障信息库)、诊断推理机构、接口和数据库等组成。

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