研究了一种双桥并联可控整流电路的故障分类及诊断方法。

This paper studies the fault classification and diagnosis method of the double-bridge 12-pulse waveform controlled rectifier circuit based on pattern recognition.

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为了快速诊断板级电路故障， 提出了采用分类的粗糙集-神经网络-专家系统的混合系统实现雷达装备的故障诊断。

To diagnose the board-level circuit fault rapidly, we put forward a hybrid system of rough set, neural network, and expert system for fault diagnosis of radar equipment.

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针对电力电子电路中器件的参数故障诊断问题，提出一种基于模糊推理的分类器融合诊断方法。

Aiming at the parametric faults diagnosis of the power electronic circuits, a method based on classifiers fusion was proposed to diagnose the circuit by using the fuzzy inference process.

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