Name
Title | ||
|---|---|---|
Diagnosis for IGBT Open-circuit Faults in Photovoltaic Inverters: A Compressed Sensing and CNN based Method |
Abstract | ||
|---|---|---|
The inverter is the most vulnerable module of photovoltaic (PV) systems. The insulated gate bipolar transistor (IGBT) is the core part of inverters and the root source of PV inverter failures. How to effectively diagnose the IGBT faults is critical for reliability, high efficiency, and safety of PV systems. Recently, deep learning (DL) methods are widely used for fault detection and diagnosis. Dif... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/INDIN45523.2021.9557384 | 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) |
Keywords | DocType | ISBN |
Training,Insulated gate bipolar transistors,Photovoltaic systems,Deep learning,Fault detection,Feature extraction,Inverters | Conference | 978-1-7281-4395-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinyi Wang | 1 | 0 | 0.34 |
| Bo Yang | 2 | 361 | 40.37 |
| Qi Liu | 3 | 0 | 0.68 |
| Jingzheng Tu | 4 | 0 | 0.34 |
| Cai-Lian Chen | 5 | 831 | 98.98 |