马钰淋，男，汉族，中共党员，工学博士，讲师，硕士生导师。
【工作与教育经历】
2024/12-至今，河北工业大学，电气工程学院，讲师；
2020/09-2024/11，北京航空航天大学，可靠性与系统工程学院，系统工程；
2017/09-2020/06，中国石油大学（北京），安全与海洋工程学院，安全与海洋工程学院/机械与储运工程学院，安全科学与工程。
【研究领域】
（1）故障预测与健康管理、预测性维护、通用人工智能与工业大模型等；
（2）系统可靠性评估；
（3）新型电力系统安全稳定性分析、新型电力系统与人工智能；
（4）新能源装备系统智能运维。
研究成果应用于工业机器人、大口径天线、新型电力系统、锂离子电池、风电机组叶片、电动汽车、油气装备、化工过程、航空航天等。
【科研项目（负责人）】
[1] 国家自然科学基金青年科学基金项目 (C类)，在研，主持。
[2] 国家自然科学基金区域联合基金集成项目，在研，参与。
【代表性论文】
[1] Ma Yulin, Yang Jun*. Sharpness-aware debiased alignment for imbalanced domain generalization fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2025, 162: 112627.
[2] Ma Yulin, Yang Jun, Li Lei. Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis [J]. Reliability Engineering & System Safety, 2023, 239: 109516.
[3] Ma Yulin, Yang Jun, Yan Ruqiang. Sharpness-aware gradient alignment for domain generalization with noisy labels in intelligent fault diagnosis [J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 3523210.
[4] Ma Yulin, Yang Jun, Li Lei. Collaborative and adversarial deep transfer auto-encoder for intelligent fault diagnosis [J]. Neurocomputing, 2022, 486: 1-15.
[5] Ma Yulin, Yang Jun, Li Lei. Convolutional kernel aggregated domain adaptation for intelligent fault diagnosis with label noise [J]. Reliability Engineering & System Safety, 2022, 227: 108736.
[6] Ma Yulin, Yang Jun, Li Lei. Meta bi-classifier gradient discrepancy for noisy and universal domain adaptation in intelligent fault diagnosis [J]. Knowledge-Based Systems, 2023, 276: 110735.
[7] Wang Jinjiang, Ma Yulin, Zhang Laibin, Gao Rober X, Wu Dazhong. Deep learning for smart manufacturing: Methods and applications [J]. Journal of Manufacturing Systems, 2018, 48: 144-156. (高被引, ESI热点, Best Paper Award)
[8] Wang Jinjiang, Ma Yulin, Huang Zuguang, Xue Ruijuan, Zhao Rui. Performance analysis and enhancement of deep convolutional neural network: Application to gearbox condition monitoring [J]. Business & Information Systems Engineering, 2019, 61: 311-326.
[9] Li Lei, Yang Jun, Ma Yulin, Kong Xuefeng. Pseudo-labeling integrating centers and samples with consistent selection mechanism for unsupervised domain adaptation [J]. Information Sciences, 2023, 628: 50-69.
[10] Li Lei, Yang Jun, Kong Xuefeng, Zhang Jianchun, Ma Yulin. Unsupervised domain adaptation via discriminative feature learning and classifier adaptation from center-based distances [J]. Knowledge-Based Systems, 2022, 250: 109022.
[11] Li Lei, Yang Jun, Kong Xuefeng, Ma Yulin. Discriminative transfer feature learning based on robust-centers [J]. Neurocomputing, 2022, 500: 39-57.
[12] 黎磊, 马钰淋, 胡刚, 等. 基于迁移学习的 GH159 螺栓热镦后头部缺陷识别 [J]. 系统科学与数学, 2021.
[13] Zhang Wenjing, Ma Yulin*, Hu Gang, et al. A novel hybrid neural network with attentive feature selection for degradation status identification of aircraft self-locking nuts [C]. International Conference on System Reliability and Safety Engineering (SRSE), 2022. (Excellent Oral Presentation)
【主要科研成果（第一完成人）】
【所获荣誉】
[1] The 4th International Conference on System Reliability and Safety Engineering (SRSE 2022), Excellent Oral Presentation Award, Guangzhou.
[2] The 16th International Conference on Reliability, Maintainability, and Safety (ICRMS 2025), Invited Speaker, Shanghai.
【国内外学术团体及任职】
[1] 中国现场统计研究会可靠性工程分会青年理事；国
[2] IEEE Transactions on Cybernetics、IEEE Transactions on Automation Science and Engineering、Reliability Engineering & System Safety等SCI期刊审稿人。
【联系方式】
[1] 最新信息请关注个人/实验室主页https://andrewyulma.github.io/
[2] 学校官方主页不定期更新，请搜索教师个人主页
[3] 每年招收2名硕士研究生，欢迎不同学科专业学生（电气、机械、自动化、计算机、数学等）申请，请将个人简历发送至邮箱（yulin.ma@hebut.edu.cn）。
