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Rotating rectifier fault detection method of wound‐rotor synchronous starter‐generator with three‐phase exciter
Author(s) -
Wei Zhihuang,
Liu Weiguo,
Zhang Zan,
Jiao Ningfei,
Peng Jichang,
Meng Tao
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.0038
Subject(s) - exciter , fault (geology) , control theory (sociology) , rotor (electric) , wound rotor motor , rectifier (neural networks) , stator , harmonic , permanent magnet synchronous generator , excitation , computer science , amplitude , engineering , induction motor , physics , electrical engineering , voltage , acoustics , artificial intelligence , stochastic neural network , control (management) , quantum mechanics , seismology , recurrent neural network , artificial neural network , geology
This study focuses on the rotating rectifier fault detection method of the wound‐rotor synchronous starter‐generator (WSSG) with the three‐phase exciter. Due to the difference in the topography between the traditional DC filed excitation system and the three‐phase exciter, the existing method for rotating rectifier fault detection of DC filed excitation system is not effective in WSSG. To solve this problem, this study points out that the ratio of the second to fourth harmonic's amplitude and the fundamental amplitude can be used as the signature after having analysed harmonic components of the exciter rotor current which is estimated by stator flux under the healthy and fault condition. The novel method puts forward that the ratio's Euclidean distance can determine whether the rotating rectifier is faulty or not, and discriminate which phase becomes a fault. By comparing the sum of the maximum and minimum faulty phase current within one cycle with a set threshold value, the location of failure diode is confirmed. The simulation results verify the effectiveness of the proposed method.

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