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提出了一种用人工神经网络来检测无刷同步电机旋转整流器故障的新方法,比起过去应用的模拟电路或单片机检测电路,判断故障的准确性更好,是很有发展前途的一种方法。
A new method to detect the fault of brushless synchronous motor rotating rectifier by using artificial neural network is proposed. Compared with the analog circuits or single-chip detection circuits used in the past, it is a promising method to judge the fault’s accuracy .