电源学报

基于MTF-CNN的三相光伏并网逆变器IGBT故障诊断

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董唯光 ¹ , 王宁 ¹ , 张周卫 ² , 郎雄飞 ¹

电源学报 | 人工智能与电力电子 2026,24(6): 311-318

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电源学报 |人工智能与电力电子 2026 , 24 (6) : 311 -318

基于MTF-CNN的三相光伏并网逆变器IGBT故障诊断

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董唯光¹, 王宁¹, 张周卫², 郎雄飞¹

作者信息

^1.兰州交通大学自动化与电气工程学院，兰州　730070

^2.兰州交通大学LNG低温装备及自动化研究所，兰州　730070

通讯作者:

王宁（2000—　），女，通信作者，硕士研究生。研究方向：电力系统自动化。E-mail：2823833212@qq.com。

作者简介:

董唯光（1971—　），男，博士，副教授。研究方向：故障诊断。E-mail：dongwg@mail.lzjtu.cn。

张周卫（1972—　），男，博士，教授。研究方向：电力系统自动化。E-mail：2824617264@qq.com。

郎雄飞（1998—　），男，硕士研究生。研究方向：电力系统自动化。E-mail：langxf9588@163.com。

IGBT Diagnosis of Three-phase PV Grid-connected Inverter Based on MTF-CNN

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

出版时间: 2026-06-30 doi: 10.13234/j.issn.2095-2805.2026.6.311

文章导航

摘要

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绝缘栅双极晶体管IGBT（insulated gate bipolar transistor）是光伏PV（photovolatic）逆变器的核心部件，其稳定性和可靠性对逆变器的正常运行至关重要。因此通过对光伏并网逆变器的故障诊断来确保发电系统的安全和稳定运行尤为重要。针对三相光伏并网两电平逆变器IGBT常见的单管开路故障，提出一种基于马尔可夫转移场-卷积神经网络MTF-CNN（Markov transition field-convolutional neural network）的三相光伏并网逆变器IGBT开路故障诊断方法。在MATLAB/Simulink上搭建三相光伏并网逆变器仿真模型，模拟几种IGBT开路故障，采集逆变器输出的故障电流信号作为一维时域信号，利用MTF将其转化为二维图像作为2D-CNN的数据集并进行训练，完成故障检测与诊断。实验结果表明，该方法具有较强的抗干扰能力，相较于其他传统方法，诊断速度较快，准确性更高。

关键词

故障诊断 / 马尔可夫转移场 / 卷积神经网络 / 绝缘栅双极晶体管

Abstract

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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.

Key words

Fault diagnosis / Markov transition field (MTF) / convolutional neural network (CNN) / insulated gate bipolar transistor (IGBT)

引用本文

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

基金

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甘肃省重点人才资助项目(26600101)

参考文献

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2026年第24卷第6期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.6.311

接收时间：2024-05-09
首发时间：2026-10-29
出版时间：2026-06-30

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出版历史

收稿日期：2024-05-09
修回日期：2024-07-01
录用日期：2024-07-06

基金

Gasu Province Key Talent Project(26600101)

甘肃省重点人才资助项目(26600101)

作者信息

^1.兰州交通大学自动化与电气工程学院，兰州　730070

^2.兰州交通大学LNG低温装备及自动化研究所，兰州　730070

通讯作者:

王宁（2000—　），女，通信作者，硕士研究生。研究方向：电力系统自动化。E-mail：2823833212@qq.com。

参考文献

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.6.311

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2种不同金属材料的力学参数

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

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