定子
整流器(神经网络)
转子(电动)
断层(地质)
控制理论(社会学)
励磁机
绕线转子电动机
工程类
永磁同步发电机
激发
发电机(电路理论)
计算机科学
电气工程
物理
感应电动机
电压
功率(物理)
人工神经网络
随机神经网络
控制(管理)
量子力学
机器学习
人工智能
地震学
地质学
循环神经网络
作者
Xinyu Li,Weiguo Liu,Ningfei Jiao,Chenghao Sun,Shuai Mao
出处
期刊:IEEE Transactions on Power Electronics
[Institute of Electrical and Electronics Engineers]
日期:2023-08-28
卷期号:38 (12): 16072-16084
标识
DOI:10.1109/tpel.2023.3309252
摘要
Accurate and timely fault diagnosis of the rotating rectifier in aircraft wound-rotor synchronous starter/generator (WRSSG) is very important for improving system reliability. Through the analysis of the stator excitation current of the main exciter (ME) with the rotating rectifier under various working conditions (healthy, open-circuit fault, and short-circuit fault), a novel fault diagnosis method of the rotating rectifier based on ME excitation current amplitude is proposed in this article. In this method, the sum of squared stator currents of the ME is calculated and the position corresponding to the maximum current is obtained, and they are used to calculate the ratio for fault detection. The proposed fault diagnosis method is the first rotating rectifier diode fault diagnosis method that can be applied in the stationary, startup, and generation processes of the system. The experiment results verified the feasibility and effectiveness of the proposed method.
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