Zhixi Wu was born in Henan Province, China, in 1996. He received the B.S. degree in automation from Hunan University, Changsha, China, in 2018, and the M.S. degree in control science and engineering from Huazhong University of Science and Technology, Wuhan, China, in 2021. He is currently working toward the Ph.D. degree in artificial intelligence with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. His research interests include multilevel converters and fault diagnosis for power converters.
Jin Zhao was born in Hubei Province, China, in 1967. He received the B.E. and Ph.D. degrees in Control Science and Engineering from the Department of Control Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China, in 1989 and 1994, respectively. Since 2004, he has been a Full Professor with the School of Artificial Intelligent and Automation, HUST. During 2001-2002, he was a Visiting Scholar in the Power Electronics Research Laboratory, University of Tennessee, Knoxville, USA. He is currently involved in research and applications of power electronics, electrical drives, fault diagnosis and tolerant, and intelligent control. He is the author or co-author of more than 300 technical papers.
Gridtied Ttype inverters are widely used in photovoltaic, electric vehicle charging piles, and other gridtied applications. However, the transistor fault seriously harms the reliability of the inverter. This paper proposed a simple and novel opencircuit fault diagnosis method for the gridtied Ttype inverter based only on the threephase currents. At first, the Hausdorff distances among the threephase normalized current accumulations are obtained to perform the fault detection. The process is tolerant of inverter transient conditions. Then, the fundamental frequency values of the threephase currents are calculated to locate the faulty phase. At last, the faulty transistor is located by some intermediate conditions. In particular, the method is suitable for modulation index regulation. Experiments verify the effectiveness of the proposed method.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |