分析了电磁轴承多传感器故障的基本特征，提出了电磁轴承多传感器故障诊断方法——基于序列变量的多值逻辑代数方法。
It was analyzed in detail about the way of fault diagnosis of the sensors of magnetic bearings in guidance with the multi-valued logic algebra.
针对电力变压器在线监测与故障诊断问题，提出了基于多传感器信息融合与嵌入式网络相结合的解决方案。
Aim at the issue of on-line detection and fault diagnosis of power transformer, a project of multi-sensor in-formation fusion combined with embedded network is proposed.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
D-S evidence theory is applied in the multi-sensor data fusion, the generalized method of the data fusion is proposed and applied in the fault diagnosis of the hydraulic pump.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
D-S evidence theory was applied in the multi-sensor data fusion, the generalized method of the data fusion was proposed and applied in the fault diagnosis of the hydraulic pump.
本文针对矿井提升机故障诊断方法存在的局限性，运用了一种基于多传感器信息融合的智能故障诊断方法。
For limitation of fault diagnosis methods in Mine Hoist, a fault diagnosis method based on the multi-sensor information fusion was used in this article.
数据级融合模块主要对多传感器的测量信号进行处理，提取出故障诊断的特征信息。
The data fusion level module mainly handles the metrical data of multi-sensors and extracts the feature of faults.
本文探索性地应用多传感器数据融合技术解决输电线网的故障类型识别问题，力求寻找一条自适应继电保护和智能故障诊断的新途径。
Using data fusion technique to realize fault discrimination of transmission lines, this work tried to find a new approach of adaptive relay protection and intelligent fault diagnosis on power system.
在此背景下，本文综合研究了基于多传感器信息的故障诊断方法。
In this context, this paper a comprehensive study of information-based multi-sensor fault diagnosis method.
在此背景下，本文综合研究了基于多传感器信息的故障诊断方法。
In this context, this paper a comprehensive study of information-based multi-sensor fault diagnosis method.
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