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教育和工作经历：

2002.09-2006.07 东北大学，电子信息工程专业，获工学学士学位

2007.09-2008.07 东北大学，信号与信息处理专业，获工学硕士学位

2008.08-2017.08 东软集团股份有限公司

2017.09-2021.10 东北大学，电力电子与电力传动专业，获工学博士学位

2022.01-        北京科技大学土木与资源工程学院副教授

科研方向：

矿产资源开发利用/人工智能/小样本学习

主要论文：

1.Fuming Qu, Jinhai Liu, Hongfei Zhu, Huaguang Zhang. A Data-Driven Interpretable Method Based on Reversely Built FIS and Its Applications in Measurement, IEEE Transactions on Instrumentation and Measurement, 2021, 70.

2.Fuming Qu, Jinhai Liu, Hongfei Zhu, Dong Zang. Wind Turbine Condition Monitoring Based on Assembled Multidimensional Membership Functions Using Fuzzy Inference System, IEEE Transactions on Industrial Informatics, 2020, 16(6).

3.Fuming Qu, Jinhai Liu, Xiaoyuan Liu, Lin Jiang. A Multi-Fault Detection Method With Improved Triplet Loss Based on Hard Sample Mining, IEEE Transactions on Sustainable Energy, 2020, 12(1).

4.Fuming Qu, Jinhai Liu, Hongfei Zhu, Bowen Zhou. Wind turbine fault detection based on expanded linguistic terms and rules using non-singleton fuzzy logic, Applied Energy, 2020.

5.Fuming Qu, Jinhai Liu, Yanjuan Ma, Dong Zang, Mingrui Fu. A novel wind turbine data imputation method with multiple optimizations based on GANs, Mechanical Systems and Signal Processing, 2020, 139.

6.Jinhai Liu, Fuming Qu, Xiaowei Hong, Huaguang Zhang. A Small-sample Wind Turbine Fault Detection Method with Synthetic Fault Data Using Generative Adversarial Nets, IEEE Transactions on Industrial Informatics, 2019, 15(7).

7.Fuming Qu, Jinhai Liu, Yu Zhang, Jian Feng, Xiaowei. HongA Wind Turbine Fault Diagnosis Method with Self-updating Model based on SCADA Data Mining. Data Driven Control and Learning Systems Conference, 2018.

8.Huaguang Zhang, Lin Jiang, Jinhai Liu, Fuming Qu. Data Recovery of Magnetic Flux Leakage Data Gaps Using Multifeature Conditional Risk, IEEE Transactions on Automation Science and Engineering, 2021, 18(3).

9.Lei Wang, Huaguang Zhang, Jinhai Liu, Fuming Qu, Fengyuan Zuo. Defect Size Quantification for Pipeline Magnetic Flux Leakage Detection System Via Multi-Level Knowledge-Guided Neural Network, IEEE Transactions on Industrial Electronics, 2023, 70(8).

10.Xueqing Ni, Dongsheng Yang, Huaguang Zhang, Fuming Qu, Jia Qin. Qing Time-Series Transfer Learning: An Early Stage Imbalance Fault Detection Method Based on Feature Enhancement and Improved Support Vector Data Description, IEEE Transactions on Industrial Electronics, 2023, 70(8).

专著：

曲福明, 荆洪迪, 刘金海. 小样本下的风机故障检测方法及应用. 东北大学出版社, 978-7-5517-2959-8, 2022.3.

主要科研项目：

1.矿产资源安全科技保障研究, 中国工程院重大咨询项目，主要参与人.

2.基于5G技术与边缘计算的地下矿机车安全保障技术研究，横向课题，主持.

3.基于深度学习的井底装置智能巡检技术及装备研究，横向课题，主持.

4.盐碱地改良智慧农业精准化管控模式研究，横向课题，主持.

5.基于大数据的典型生产设备能源优化关键技术研究，横向课题，主持.

6.露天采场爆破效果预测技术研究与应用，横向课题，主持.

7.基于电磁全息协同的海洋在役油气管道内检测仪器研制，基金委重大科研仪器研制项目，主要参与人.

8.海管检测数据综合处理与缺陷评估关键技术研究与软件开发，科技部重点研发计划，主要参与人.

9.管道移动机器人复杂环境自适应巡检理论与方法研究，基金委国家地方联合项目，主要参与人.

10.模型可再生的管道缺陷故障诊断理论与技术研究，基金委面上项目，主要参与人.

专利：

1.基于进化框架的模糊对抗生成网络风功率预测方法及装置，202210181632.7.

2.基于知识迁移的模糊推理系统小样本缺陷检测方法及装置，202210177982.6.

3.一种基于三维隶属函数模糊逻辑系统的风机故障诊断方法，201910085928.7.

4.基于难样本挖掘的深度度量网络的风机多故障诊断方法，201910835384.1.

5.基于进化模糊最大最小神经网络的管道新缺陷识别方法，201910586223.3.

获奖情况：

2022.10，获中国冶金矿山企业协会“冶金矿山科学技术一等奖”，个人排名第二.