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1)  early fault diagnosis
早期故障识别
2)  Early failure
早期故障
1.
The transformer early failure on line supervisory equipment is a key apparatus to realise transformer state maintenance technique,in which,the spectrum analysis method of transformer oil is a mature and effective method to determine transformer failure.
变压器早期故障在线监测装置是实现变压器状态维修技术的一个关键设备 ,其中变压器油色谱分析是检验变压器设备故障较成熟和有效的方法 ,但它也存在一些不确定的因素 ,要依靠实践不断取得经验。
3)  Initial failure
早期故障
1.
Through the initial failure test,the failure positions and failure causes sort of a type of CNC system are analyzed.
通过早期故障试验对某型号数控系统故障部位和故障原因分类进行了分析,对外购、外协件的可靠性保证措施及质量优选进行了研究,对制造关键工序和装配过程的可靠性保证措施提出了建议,提高了该数控系统的可靠性。
4)  early fault
早期故障
1.
Differential resonator method for early fault visual detection of generator rotor system;
电机转子系统早期故障可视化检测的差分振子法
2.
Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory;
基于证据理论的航空发动机早期故障诊断方法
3.
Gear tooth crack early fault diagnosis based on the cyclostationary demodulation;
基于循环平稳解调的齿轮裂纹早期故障诊断研究
5)  incipient fault
早期故障
1.
To extract incipient fault feature of mechanical signal, a new method to construct wavelet according to the fault characteristics is presented.
针对机械信号早期故障特征的提取问题,提出了一种根据故障特征波形的特点来构造相应小波的方法。
2.
The importance of motor incipient faults detection is made clear in this paper.
本文论述了异步电动机的各种主要早期故障 ,并对各种检测技术的发展状况作了综合性的评
3.
Two methods based on phase map and Lyapunov exponents of Duffing oscillator were presented to diagnose the incipient fault of rolling bearing.
提出以杜芬(Duffing)混沌振子检测滚动轴承早期故障的相轨迹图法和李亚普诺夫(Lyapunov)指数方法。
6)  fault diagnosis
故障识别
1.
Whole cycle symptom abstract and fault diagnosis based on the wavelet packet decomposition;
基于小波包分解的整循环征兆提取与故障识别
2.
This article utilized the information-fusion method in neural networks to construct an on-line sensor fault diagnosis model.
以燃料电池发动机控制系统为背景,以该系统的多种传感器为研究对象,利用神经网络信息融合的方法,构建了传感器的在线故障识别模型,给出了其算法。
3.
Through a special data dealing process, con tents of five characteristic gases obtained by DGA are transformed, and 6 charac teristic components for fault diagnosis are distilled for SVMs.
提出了一种基于多级支持向量机分类器的电力变压器故障识别方法。
补充资料:早期
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