Open AccessOpen‐switch fault diagnosis in three‐level rectifiers based on selective calculation method for instant voltage deviation
Author(s) -
Chen Mingyun,
He Yigang,
Sui Chunsong
Publication year - 2021
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/pel2.12075
Subject(s) - robustness (evolution) , computer science , control theory (sociology) , voltage , fault (geology) , rectifier (neural networks) , point (geometry) , electronic engineering , engineering , control (management) , artificial intelligence , mathematics , electrical engineering , artificial neural network , seismology , geology , biochemistry , chemistry , stochastic neural network , geometry , recurrent neural network , gene
This paper presents an open‐switch fault detection, and identification method for a neutral‐point clamped rectifier system. A new calculation method for phase‐to‐phase pole voltage deviations is proposed for reducing calculation errors. In this way, the more accurate diagnosis can be achieved. Both single‐switch faults, and multiple‐switch faults can be identified effectively by using fewer diagnostic variables, which makes the diagnostic method simpler, and more reliable. And all the variables can be simply calculated by signals which are available to the control system of the rectifier, avoiding the use of additional hardware. Moreover, different voltage thresholds are designed for different faulty feature sections to further reduce the diagnostic time. Additionally, a diagnostic result checking method is proposed to avoid the misdiagnosis when considering the effect of outer‐switch faults. Finally, experiments are carried out, and the results show the robustness, and effectiveness of the proposed method.