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IGBT Diagnosis of Three-phase PV Grid-connected Inverter Based on MTF-CNN
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Weiguang DONG1, Ning WANG1, Zhouwei ZHANG2, Xiongfei LANG1
Journal of Power Supply | 2026, 24(6) : 311 - 318
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Journal of Power Supply | 2026, 24(6): 311-318
• AI and Power Electronics •
IGBT Diagnosis of Three-phase PV Grid-connected Inverter Based on MTF-CNN
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Weiguang DONG1, Ning WANG1, Zhouwei ZHANG2, Xiongfei LANG1
Affiliations
  • 1.School of Automation and Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730070, China
  • 2.Institute of LNG Low Temperature Equipment and Automation, Lanzhou Jiao Tong University, Lanzhou 730070, China
Published: 2026-06-30 doi: 10.13234/j.issn.2095-2805.2026.6.311
Outline
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The insulated gate bipolar transistor (IGBT) is the core component of a photovoltaic (PV) inverter, and its stability and reliability are crucial to the normal operation of the inverter. Therefore, it is important to ensure the safety and stable operation of the power system through the fault diagnosis of a PV grid-connected inverter. Aimed at the single-tube open-circuit fault which is common for the IGBT in a three-phase PV grid-connected two-level inverter, a diagnosis method for the open-circuit fault of IGBT in the three-phase PV grid-connected inverter based on Markov transition field-convolutional neural network (MTF-CNN) is presented. A simulation model of the three-phase PV grid-connected inverter is built on MATLAB/Simulink to simulate the open-circuit fault of several kinds of IGBTs. The output of fault current signal from the inverter is collected as one-dimensional time-domain signal, which is further converted into two-dimensional images by MTF as a 2D-CNN data set for training. Finally, the fault detection and diagnosis are completed. Experimental results show that the proposed method has strong anti-interference capability. In addition, it has a faster diagnosis speed and higher accuracy than other conventional methods.

Fault diagnosis  /  Markov transition field (MTF)  /  convolutional neural network (CNN)  /  insulated gate bipolar transistor (IGBT)
董唯光, 王宁, 张周卫, 郎雄飞. 基于MTF-CNN的三相光伏并网逆变器IGBT故障诊断. 电源学报, 2026 , 24 (6) : 311 -318 . DOI: 10.13234/j.issn.2095-2805.2026.6.311
Weiguang DONG, Ning WANG, Zhouwei ZHANG, Xiongfei LANG. IGBT Diagnosis of Three-phase PV Grid-connected Inverter Based on MTF-CNN[J]. Journal of Power Supply, 2026 , 24 (6) : 311 -318 . DOI: 10.13234/j.issn.2095-2805.2026.6.311
Funding
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  • Gasu Province Key Talent Project(26600101)
Appendix
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Year 2026 volume 24 Issue 6
36
5
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.6.311
  • Receive Date：2024-05-09
  • Online Date：2026-10-29
  • Published：2026-06-30
Article Data
Affiliations
History
  • Received：2024-05-09
  • Revised：2024-07-01
  • Accepted：2024-07-06
Funding
Gasu Province Key Talent Project(26600101)
Affiliations
    1.School of Automation and Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730070, China
    2.Institute of LNG Low Temperature Equipment and Automation, Lanzhou Jiao Tong University, Lanzhou 730070, China
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