个人简介：
姓名：郭群
职称：讲师/硕士研究生导师
邮箱：guo_qun24@dlmu.edu.cn
研究方向：人工智能在电力电子变换器故障诊断中的应用、浅地表电磁探测
经历：
2012.9-2016.6 吉林大学，电气工程及其自动化，学士
2016.9-2019.6 吉林大学，电力电子与电力传动，硕士
2020.9-2024.6 吉林大学，测试计量技术及仪器，博士
2024年7月-至今， 大连海事大学，船舶电气工程学院，讲师
代表性论文(*为通讯作者)：
1.q. guo, s. zhou, x. zhang, et al. a multiarray electromagnetic instrument for shallow surface real-time detection[j]. ieee transactions on instrumentation and measurement, 2021, 70:1-9.
2.q. guo, x. zhang, j. li, et al. fault diagnosis of modular multilevel converter based on adaptive chirp mode decomposition and temporal convolutional network[j]. engineering applications of artificial intelligence, 2022, 107: 104544.
3.q. guo, j. li, f. zhou, et al. an open-set fault diagnosis framework for mmcs based on optimized temporal convolutional network[j]. applied soft computing, 2023, 133:109959.
4.q. guo, g. li and j. lin. a domain generalization network exploiting causal representations and non-causal representations for three-phase converter fault diagnosis[j]. ieee transactions on instrumentation and measurement, 2024, 74:1-13.
5.q. guo, g. li and j. lin. domain-specific adaptation network for inverter fault diagnosis: knowledge transfer from simulation to physical domain[j]. measurement, 2024, 227: 114299.
6. ren, t. han, q. guo* and g. li*. "analysis of interpretability and generalizability for power converter fault diagnosis based on temporal convolutional networks[j]. ieee transactions on instrumentation and measurement, 2023, 72:1-11.
7.周逢道,郭群,郭英杰,等.阵列式浅地表电磁探测系统控制模式研究[j].仪器仪表学报,2018,39(07):200-207. （中文ei）
